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| Name: ollama-vulkan | Distribution: openSUSE Tumbleweed |
| Version: 0.12.10 | Vendor: openSUSE |
| Release: 2.1 | Build date: Mon Nov 10 20:34:43 2025 |
| Group: Unspecified | Build host: reproducible |
| Size: 46457400 | Source RPM: ollama-0.12.10-2.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://ollama.com | |
| Summary: Ollama Module using Vulkan | |
Ollama plugin module using Vulkan.
MIT
* Mon Nov 10 2025 Egbert Eich <eich@suse.com>
- Consolidate spec file to build for CPU or GPUs from NVIDIA (CUDA)
and AMD (ROCm). Both are presently disabled on openSUSE, ROCm
will be available on Tumbleweed soon.
- Splitting Vulkan, CUDA and ROCm into separate packages. The
Vulkan, CUDA and ROCm modules are recommended.
* Fri Nov 07 2025 Glen Masgai <glen.masgai@gmail.com>
- Update to version 0.12.10
* Fixed errors when running qwen3-vl:235b and
qwen3-vl:235b-instruct
* Enable flash attention for Vulkan (currently needs to be built
from source)
* Add Vulkan memory detection for Intel GPU using DXGI+PDH
* Ollama will now return tool call IDs from the /api/chat API
* Fixed hanging due to CPU discovery
* Ollama will now show login instructions when switching to a
cloud model in interactive mode
* Fix reading stale VRAM data
* 'ollama run' now works with embedding models
* Sun Nov 02 2025 Glen Masgai <glen.masgai@gmail.com>
- Fixed issue with duplicated libraries (/usr/lib, /usr/lib64)
- Update to version 0.12.9
* Fix performance regression on CPU-only systems
- Update to version 0.12.8
* qwen3-vl performance improvements, including flash attention
support by default
* qwen3-vl will now output less leading whitespace in the
response when thinking
* Fixed issue where deepseek-v3.1 thinking could not be disabled
in Ollama's new app
* Fixed issue where qwen3-vl would fail to interpret images with
transparent backgrounds
* Ollama will now stop running a model before removing it via
ollama rm
* Fixed issue where prompt processing would be slower on
Ollama's engine
- Update to version 0.12.7
* New model: Qwen3-VL: Qwen3-VL is now available in all parameter
sizes ranging from 2B to 235B
* New model: MiniMax-M2: a 230 Billion parameter model built for
coding & agentic workflows available on Ollama's cloud
* Model load failures now include more information on Windows
* Fixed embedding results being incorrect when running
embeddinggemma
* Fixed gemma3n on Vulkan backend
* Increased time allocated for ROCm to discover devices
* Fixed truncation error when generating embeddings
* Fixed request status code when running cloud models
* The OpenAI-compatible /v1/embeddings endpoint now supports
encoding_format parameter
* Ollama will now parse tool calls that don't conform to
{"name": name, "arguments": args} (thanks @rick-github!)
* Fixed prompt processing reporting in the llama runner
* Increase speed when scheduling models
* Fixed issue where FROM <model> would not inherit RENDERER or
PARSER commands
* Sun Oct 26 2025 Yoshio Sato <vasua.ukraine@gmail.com>
- Require groups video and render instead of providing them while
competing with the system-group-hardware package
* Sat Oct 18 2025 Glen Masgai <glen.masgai@gmail.com>
- Update vendored golang.org/x/net/html to v0.46.0
- Update to version 0.12.6
* Experimental Vulkan support
* Ollama's app now supports searching when running DeepSeek-V3.1,
Qwen3 and other models that support tool calling.
* Flash attention is now enabled by default for Gemma 3,
improving performance and memory utilization
* Fixed issue where Ollama would hang while generating responses
* Fixed issue where qwen3-coder would act in raw mode when using
/api/generate or ollama run qwen3-coder <prompt>
* Fixed qwen3-embedding providing invalid results
* Ollama will now evict models correctly when num_gpu is set
* Fixed issue where tool_index with a value of 0 would not be
sent to the model
- Add ollama user to render group
* Sat Oct 11 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update vendored golang.org/x/net/html to v0.45.0
[boo#1251413] [CVE-2025-47911] [boo#1241757] [CVE-2025-22872]
- Update to version 0.12.5:
* Fixed issue where "think": false would show an error instead of
being silently ignored
* Fixed deepseek-r1 output issues
- Update to version 0.12.4:
* Flash attention is now enabled by default for Qwen 3 and Qwen 3
Coder
* Fixed an issue where keep_alive in the API would accept
different values for the /api/chat and /api/generate endpoints
* Fixed tool calling rendering with qwen3-coder
* More reliable and accurate VRAM detection
* OLLAMA_FLASH_ATTENTION can now be overridden to 0 for models
that have flash attention enabled by default
* Fixed crash where templates were not correctly defined
* Sat Oct 04 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.12.3:
* New models: DeepSeek-V3.1-Terminus, Kimi K2-Instruct-0905
* Fixed issue where tool calls provided as stringified JSON
would not be parsed correctly
* ollama push will now provide a URL to follow to sign in
* Fixed issues where qwen3-coder would output unicode characters
incorrectly
* Fix issue where loading a model with /load would crash
- Update to version 0.12.2:
* A new web search API is now available in Ollama
* Models with Qwen3's architecture including MoE now run in
Ollama's new engine
* Fixed issue where built-in tools for gpt-oss were not being
rendered correctly
* Support multi-regex pretokenizers in Ollama's new engine
* Ollama's new engine can now load tensors by matching a prefix
or suffix
- Update to version 0.12.1:
* New model: Qwen3 Embedding: state of the art open embedding
model by the Qwen team
* Qwen3-Coder now supports tool calling
* Fixed issue where Gemma3 QAT models would not output correct
tokens
* Fix issue where & characters in Qwen3-Coder would not be parsed
correctly when function calling
* Fixed issues where ollama signin would not work properly
- Update to version 0.12.0:
* Cloud models are now available in preview
* Models with the Bert architecture now run on Ollama's engine
* Models with the Qwen 3 architecture now run on Ollama's engine
* Fixed issue where models would not be imported correctly with
ollama create
* Ollama will skip parsing the initial <think> if provided in
the prompt for /api/generate
- Update to version 0.11.11:
* Improved memory usage when using gpt-oss
* Fixed error that would occur when attempting to import
safetensor files
* Improved memory estimates for hybrid and recurrent models
* Fixed error that would occur when when batch size was greater
than context length
* Flash attention & KV cache quantization validation fixes
* Add dimensions field to embed requests
* Enable new memory estimates in Ollama's new engine by default
* Ollama will no longer load split vision models in the Ollama engine
* Tue Sep 09 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.11.10:
* Added support for EmbeddingGemma, a new open embedding model
- Update to version 0.11.9:
* Improved performance via overlapping GPU and CPU computations
- Update to version 0.11.8:
* gpt-oss now has flash attention enabled by default for systems
that support it
* Improved load times for gpt-oss
* Mon Aug 25 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.11.7:
* DeepSeek-V3.1 is now available to run via Ollama.
* Fixed issue where multiple models would not be loaded on
CPU-only systems
* Ollama will now work with models who skip outputting the
initial <think> tag (e.g. DeepSeek-V3.1)
* Fixed issue where text would be emitted when there is no
opening <think> tag from a model
* Fixed issue where tool calls containing { or } would not be
parsed correctly
- Update to version 0.11.6:
* Improved performance when using flash attention
* Fixed boundary case when encoding text using BPE
- Update to version 0.11.5:
* Performance improvements for the gpt-oss models
* Improved memory management for scheduling models on GPUs,
leading to better VRAM utilization, model performance and less
out of memory errors. These new memory estimations can be
enabled with OLLAMA_NEW_ESTIMATES=1 ollama serve and will soon
be enabled by default.
* Improved multi-GPU scheduling and reduced VRAM allocation when
using more than 2 GPUs
* Fix error when parsing bad harmony tool calls
* OLLAMA_FLASH_ATTENTION=1 will also enable flash attention for
pure-CPU models
* Fixed OpenAI-compatible API not supporting reasoning_effort
* Thu Aug 07 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.11.4:
* openai: allow for content and tool calls in the same message
* openai: when converting role=tool messages, propagate the tool
name
* openai: always provide reasoning
* Bug fixes
* Wed Aug 06 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.11.0:
* New model: OpenAI gpt-oss 20B and 120B
* Quantization - MXFP4 format
* Tue Aug 05 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.10.1:
* No notable changes.
- Update to version 0.10.0:
* ollama ps will now show the context length of loaded models
* Improved performance in gemma3n models by 2-3x
* Parallel request processing now defaults to 1
* Fixed issue where tool calling would not work correctly with
granite3.3 and mistral-nemo models
* Fixed issue where Ollama's tool calling would not work
correctly if a tool's name was part of of another one, such as
add and get_address
* Improved performance when using multiple GPUs by 10-30%
* Ollama's OpenAI-compatible API will now support WebP images
* Fixed issue where ollama show would report an error
* ollama run will more gracefully display errors
* Thu Jul 03 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.9.5:
* No notable changes.
- Update to version 0.9.4:
* The directory in which models are stored can now be modified.
* Tool calling with empty parameters will now work correctly
* Fixed issue when quantizing models with the Gemma 3n
architecture
- Update to version 0.9.3:
* Ollama now supports Gemma 3n
* Ollama will now limit context length to what the model was
trained against to avoid strange overflow behavior
- Update to version 0.9.2:
* Fixed issue where tool calls without parameters would not be
returned correctly
* Fixed does not support generate errors
* Fixed issue where some special tokens would not be tokenized
properly for some model architectures
* Tue Jun 17 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.9.1:
* Tool calling reliability and performance has been improved for
the following models: Magistral Llama 4 Mistral
DeepSeek-R1-2508
* Magistral now supports disabling thinking mode
* Error messages that previously showed POST predict will now be
more informative
* Sat May 31 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.9.0:
* Ollama now has the ability to enable or disable thinking.
This gives users the flexibility to choose the model’s thinking
behavior for different applications and use cases.
- Update to version 0.8.0:
* Ollama will now stream responses with tool calls
* Logs will now include better memory estimate debug information
when running models in Ollama's engine.
- Update to version 0.7.1:
* Improved model memory management to allocate sufficient memory
to prevent crashes when running multimodal models in certain
situations
* Enhanced memory estimation for models to prevent unintended
memory offloading
* ollama show will now show ... when data is truncated
* Fixed crash that would occur with qwen2.5vl
* Fixed crash on Nvidia's CUDA for llama3.2-vision
* Support for Alibaba's Qwen 3 and Qwen 2 architectures in
Ollama's new multimodal engine
* Fri May 23 2025 Wolfgang Engel <wolfgang.engel@suse.com>
- Cleanup part in spec file where build for SLE-15-SP6 and above
is defined to make if condition more robust
* Wed May 21 2025 Wolfgang Engel <wolfgang.engel@suse.com>
- Allow to build for Package Hub for SLE-15-SP7
(openSUSE:Backports:SLE-15-SP7) with g++-12/gcc-12
by checking for sle_version >= 150600 in spec file (bsc#1243438)
* Sat May 17 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.7.0:
* Ollama now supports multimodal models via Ollama’s new engine,
starting with new vision multimodal models:
~ Meta Llama 4
~ Google Gemma 3
~ Qwen 2.5 VL
~ Qwen 2.5 VL
* Ollama now supports providing WebP images as input to
multimodal models
* Improved performance of importing safetensors models via
ollama create
* Various bug fixes and performance enhancements
* Tue May 06 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.6.8:
* Performance improvements for Qwen 3 MoE models on NVIDIA and
AMD GPUs
* Fixed a memory leak that occurred when providing images as
input
* ollama show will now correctly label older vision models such
as llava
* Reduced out of memory errors by improving worst-case memory
estimations
* Fix issue that resulted in a context canceled error
- Update to version 0.6.7:
* New model: Qwen 3
* New model: Phi 4 reasoning and Phi 4 mini reasoning
* New model: llama 4
* Increased default context window to 4096 tokens
* Fixed issue where image paths would not be recognized with ~
when being provided to ollama run
* Improved output quality when using JSON mode in certain
scenarios
* Fixed issue where model would be stuck in the Stopping...
state
- Use source url (https://en.opensuse.org/SourceUrls)
* Thu Apr 24 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.6.6:
* New model: IBM Granite 3.3
* New model: DeepCoder
* New, faster model downloading: OLLAMA_EXPERIMENT=client2
ollama serve will run Ollama using a new downloader with
improved performance and reliability when running ollama pull
* Fixed memory leak issues when running Gemma 3, Mistral Small
3.1 and other models on Ollama
* Improved performance of ollama create when importing models
from Safetensors
* Ollama will now allow tool function parameters with either a
single type or an array of types
* Fixed certain out-of-memory issues caused by not reserving
enough memory at startup
* Fixed nondeterministic model unload order
* Included the items and $defs fields to properly handle array
types in the API
* OpenAI-Beta headers are now included in the CORS safelist
* Fixed issue where model tensor data would be corrupted when
importing models from Safetensors
* Sat Apr 19 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Add ollama to the video group
- Update to version 0.6.5:
* Add support for mistral-small
* Fix issues with spm tokenizer for Gemma 3 models
* Add checks for values falling out of sliding window cache
* Improve file descriptor management for tensors and
Pull operations
* Add gfx1200 & gfx1201 GPU support on Linux
* Optimize sliding window attention and KV cache implementations
* Implement loading tensors in 32KiB chunks for better performance
* Add autotemplate for gemma3 models
* Add benchmarking for ollama server performance
* Fix file handling in /proc/cpuinfo discovery
* Support heterogeneous KV cache layer sizes in memory estimation
* Fix debug logging for memory estimates
* Improve error handling for empty logits and tensor data reading
* Return model capabilities from the show endpoint
* Tue Mar 25 2025 me@levitati.ng
- Update to version 0.6.2:
* Multiple images are now supported in Gemma 3
* Fixed issue where running Gemma 3 would consume a large amount
of system memory
* ollama create --quantize now works when converting Gemma 3
from safetensors
* Fixed issue where /save would not work if running a model
with / in the name
* Add support for AMD Strix Halo GPUs
* Tue Mar 18 2025 Bernhard Wiedemann <bwiedemann@suse.com>
- Only require git-core
* Fri Mar 14 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update BuildRequires to go1.24
- Update to version 0.6.0:
* New model: Gemma 3
* Fixed error that would occur when running
snowflake-arctic-embed and snowflake-arctic-embed2 models
* Various performance improvements and bug fixes
* Wed Mar 12 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.5.13:
* New models: Phi-4-Mini, Granite-3.2-Vision, Command R7B Arabic
* The default context length can now be set with a new
OLLAMA_CONTEXT_LENGTH environment variable. For example, to set
the default context length to 8K, use:
OLLAMA_CONTEXT_LENGTH=8192 ollama serve
* Fixed issue where bf16 GGUF files could not be imported
* Ollama is now be able to accept requests from Visual Studio
Code and Cursor by accepting requests from origins beginning
with vscode-file://
* Various performance improvements and bug fixes
* Thu Feb 27 2025 eyadlorenzo@gmail.com
- Update to version 0.5.12:
* New model: Perplexity R1 1776
* The OpenAI-compatible API will now return tool_calls if the
model called a tool
* Performance on certain Intel Xeon processors should now be
restored
* Fixed permission denied issues after installing Ollama on Linux
* Fixed issue where additional CPU libraries were included in the
arm64 Linux install
* The progress bar will no longer flicker when running ollama
pull
* Fixed issue where running a model would fail on Linux if Ollama
was installed in a path with UTF-8 characters
* X-Stainless-Timeout will now be accepted as a header in the
OpenAI API endpoints
* Sat Feb 15 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Use Ninja instead of Make and update the build script to
match the new version
- Update to version 0.5.11:
* No notable changes for Linux
- Update to version 0.5.10:
* Fixed issue on multi-GPU Windows and Linux machines where
memory estimations would be incorrect
- Update to version 0.5.9:
* New model: DeepScaleR
* New model: OpenThinker
- Update to version 0.5.8:
* Ollama will now use AVX-512 instructions where available for
additional CPU acceleration
* Fixed indexing error that would occur when downloading a model
with ollama run or ollama pull
* Fixes cases where download progress would reverse
* Mon Jan 27 2025 Adrian Schröter <adrian@suse.de>
- Make ollama configurable by the admin via /etc/sysconfig/ollama
(boo#1236008)
- cleanup reproducible.patch
* Thu Jan 16 2025 Eyad Issa <eyadlorenzo@gmail.com>
- Removed 01-build-verbose.patch: embedded GOFLAG into .spec file
- Disabled reproducible.patch: should be not needed, as .gz is
not produced anymore
- Update to version 0.5.7:
* Fixed issue where using two FROM commands in Modelfile
* Support importing Command R and Command R+ architectures
from safetensors
- Update to version 0.5.6:
* Fixed errors that would occur when running ollama create on
Windows and when using absolute paths
- Update to version 0.5.5:
* New models:
~ Phi-4
~ Command R7B
~ DeepSeek-V3
~ OLMo 2
~ Dolphin 3
~ SmallThinker:
~ Granite 3.1 Dense
~ Granite 3.1 MoE
* The /api/create API endpoint that powers ollama create has
been changed to improve conversion time and also accept a JSON
object.
* Fixed runtime error that would occur when filling the model's
context window
* Fixed crash that would occur when quotes were used in /save
* Fixed errors that would occur when sending x-stainless headers
from OpenAI clients
- Update to version 0.5.4:
* New model: Falcon3
* Fixed issue where providing null to format would result in
an error
- Update to version 0.5.3:
* Fixed runtime errors on older Intel Macs
* Fixed issue where setting the format field to "" would cause
an error
- Update to version 0.5.2:
* New model: EXAONE 3.5
* Fixed issue where whitespace would get trimmed from prompt
when images were provided
* Improved memory estimation when scheduling models
* OLLAMA_ORIGINS will now check hosts in a case insensitive
manner
* Thu Dec 12 2024 Bernhard Wiedemann <bwiedemann@suse.com>
- Add reproducible.patch for deterministic .gz creation (boo#1047218)
* Sat Dec 07 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.5.1:
* Fixed issue where Ollama's API would generate JSON output when
specifying "format": null
* Fixed issue where passing --format json to ollama run would
cause an error
- Update to version 0.5.0:
* New models:
~ Llama 3.3: a new state of the art 70B model.
~ Snowflake Arctic Embed 2: Snowflake's frontier embedding
model.
* Ollama now supports structured outputs, making it possible to
constrain a model's output to a specific format defined by a
JSON schema. The Ollama Python and JavaScript libraries have
been updated to support structured outputs, together with
Ollama's OpenAI-compatible API endpoints.
* Fixed error importing model vocabulary files
* Experimental: new flag to set KV cache quantization to 4-bit
(q4_0), 8-bit (q8_0) or 16-bit (f16). This reduces VRAM
requirements for longer context windows.
- Update to version 0.4.7:
* Enable index tracking for tools - openai api support (#7888)
* llama: fix typo and formatting in readme (#7876)
* readme: add SpaceLlama, YouLama, and DualMind to community
integrations (#7216)
* Sat Nov 30 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.4.6:
* New model: QwQ: an experimental research model by the Qwen
team, focused on advancing AI reasoning capabilities.
* Tool calls will now be included in streaming responses
* Ollama will now provide an error when submitting SVG images
* Image tokens will no longer be counted in token counts when
running a text-only model
- Update to version 0.4.5:
* The Ollama Python Library has been updated
* Fixed issue where HTTPS_PROXY and HTTP_PROXY environment
variables would have no effect
* Ollama will now accept X-Stainless-Retry-Count used by many
OpenAI API clients
* Fix issue where importing certain GGUF files would result in
the incorrect quantization level
* ollama push will now print the uploaded model URL on
ollama.com
- Update to version 0.4.4:
* Marco-o1: An open large reasoning model for real-world
solutions by the Alibaba International Digital Commerce Group
(AIDC-AI).
* Fixed issue where Ollama would freeze when processing requests
in parallel (e.g. when using code completion tools)
* Redirecting output to a file no longer outputs progress bars
or spinners
- Update to version 0.4.3:
* New model: Tülu 3 is a leading instruction following model
family, offering fully open-source data, code, and recipes by
the The Allen Institute for AI.
* New model: Mistral Large: a new version of Mistral Large with
improved Long Context, Function Calling and System Prompt
support.
* Improved performance issues that occurred in Ollama versions
0.4.0-0.4.2
* Fixed issue that would cause granite3-dense to generate empty
responses
* Fixed crashes and hanging caused by KV cache management
* Sat Nov 16 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.4.2:
* runner.go: Propagate panics back to the user.
* runner.go: Increase survivability of main processing loop
* build: fix arm container image (#7674)
* add line numbers for parser errors (#7326)
* chore(deps): bump golang.org/x dependencies (#7655)
* runner.go: Don't trim whitespace from inputs
* runner.go: Enforce NUM_PARALLEL directly in the runner
* cmd: preserve exact bytes when displaying template/system layers (#7586)
* fix(mllama): sync backend between batches
* runner.go: Fix off-by-one for num predicted
* CI: give windows lint more time (#7635)
* Jetpack support for Go server (#7217)
* doc: capture numeric group requirement (#6941)
* docs: Capture docker cgroup workaround (#7519)
* runner.go: Make KV entry accounting more robust
* readme: add aichat terminal app to community integrations (#7418)
* api: fix typos in Go Doc comments (#7620)
* readme: add GoLamify to community integrations (#7521)
* readme: add browser extension that enables using Ollama for interacting with web pages (#5827)
* docs: add mentions of Llama 3.2 (#7517)
* api: fix typo in python ClientFromEnvironment docs (#7604)
* readme: add llama3.2-vision to model list (#7580)
* Mon Nov 11 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Add patch 01-build-verbose.patch to add the -v option
to go build
- Update to version 0.4.1:
* runner.go: Check for zero length images
* docs: update langchainpy.md with proper model name (#7527)
* Set macos min version for all architectures (#7579)
* win: remove preview title from installer (#7529)
* Workaround buggy P2P ROCm copy on windows (#7466)
* Debug logging for nvcuda init (#7532)
* Align rocm compiler flags (#7467)
* Be explicit for gpu library link dir (#7560)
* docs: OLLAMA_NEW_RUNNERS no longer exists
* runner.go: Remove unused arguments
* sched: Lift parallel restriction for multimodal models except mllama
* Thu Nov 07 2024 adrian@suse.de
- Update to version 0.4.0:
* Update README.md (#7516)
* One corrupt manifest should not wedge model operations (#7515)
* prompt: Use a single token when estimating mllama context size
* readme: add Hexabot to the list of community integrations
* Quiet down debug log of image payload (#7454)
* Wed Nov 06 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.4.0-rc8:
* CI: Switch to v13 macos runner (#7498)
* CI: matrix strategy fix (#7496)
* Sign windows arm64 official binaries (#7493)
* readme: add TextCraft to community integrations (#7377)
* nvidia libs have inconsistent ordering (#7473)
* CI: omit unused tools for faster release builds (#7432)
* llama: Improve error handling
* runner.go: Only allocate 1 element embedding batches for mllama
* refactor kv estimation
* mllama cross attention
* Add basic mllama integration tests (#7455)
* runner.go: Don't set cross attention before sending embeddings
* Give unicode test more time to run (#7437)
* Fri Nov 01 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Remove enable-lto.patch
- Update to version 0.4.0-rc6:
* Refine default thread selection for NUMA systems (#7322)
* runner.go: Better abstract vision model integration
* Soften windows clang requirement (#7428)
* Remove submodule and shift to Go server - 0.4.0 (#7157)
* Move windows app out of preview (#7347)
* windows: Support alt install paths, fit and finish (#6967)
* add more tests for getting the optimal tiled canvas (#7411)
* Switch windows to clang (#7407)
* tests: Add test for Unicode processing
* runner.go: Better handle return NULL values from llama.cpp
* add mllama image processing to the generate handler (#7384)
* Bump to latest Go 1.22 patch (#7379)
* Fix deepseek deseret regex (#7369)
* Better support for AMD multi-GPU on linux (#7212)
* Fix unicode output on windows with redirect to file (#7358)
* Fix incremental build file deps (#7361)
* Improve dependency gathering logic (#7345)
* fix #7247 - invalid image input (#7249)
* integration: harden embedding test (#7306)
* default to "FROM ." if a Modelfile isn't present (#7250)
* Fix rocm windows build and clean up dependency gathering (#7305)
* runner.go: Merge partial unicode characters before sending
* readme: add Ollama for Swift to the community integrations (#7295)
* server: allow vscode-webview origin (#7273)
* image processing for llama3.2 (#6963)
* llama: Decouple patching script from submodule (#7139)
* llama: add compiler tags for cpu features (#7137)
* Wed Oct 30 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org>
- Update to version 0.3.14:
* New Models
+ Granite 3 MoE: The IBM Granite 1B and 3B models are the
first mixture of experts (MoE) Granite models from IBM
designed for low latency usage.
+ Granite 3 Dense: The IBM Granite 2B and 8B models are
designed to support tool-based use cases and support for
retrieval augmented generation (RAG), streamlining code
generation, translation and bug fixing.
* Sat Oct 12 2024 eyadlorenzo@gmail.com
- Update to version 0.3.13:
* New safety models:
~ Llama Guard 3: a series of models by Meta, fine-tuned for
content safety classification of LLM inputs and responses.
~ ShieldGemma: ShieldGemma is set of instruction tuned models
from Google DeepMind for evaluating the safety of text
prompt input and text output responses against a set of
defined safety policies.
* Fixed issue where ollama pull would leave connections when
encountering an error
* ollama rm will now stop a model if it is running prior to
deleting it
* Sat Sep 28 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org>
- Update to version 0.3.12:
* Llama 3.2: Meta's Llama 3.2 goes small with 1B and 3B
models.
* Qwen 2.5 Coder: The latest series of Code-Specific Qwen
models, with significant improvements in code generation,
code reasoning, and code fixing.
* Ollama now supports ARM Windows machines
* Fixed rare issue where Ollama would report a missing .dll
file on Windows
* Fixed performance issue for Windows without GPUs
* Fri Sep 20 2024 adrian@suse.de
- Update to version 0.3.11:
* llm: add solar pro (preview) (#6846)
* server: add tool parsing support for nemotron-mini (#6849)
* make patches git am-able
* CI: dist directories no longer present (#6834)
* CI: clean up naming, fix tagging latest (#6832)
* CI: set platform build build_linux script to keep buildx happy (#6829)
* readme: add Agents-Flex to community integrations (#6788)
* fix typo in import docs (#6828)
* readme: add vim-intelligence-bridge to Terminal section (#6818)
* readme: add Obsidian Quiz Generator plugin to community integrations (#6789)
* Fix incremental builds on linux (#6780)
* Use GOARCH for build dirs (#6779)
* Optimize container images for startup (#6547)
* examples: updated requirements.txt for privategpt example
* examples: polish loganalyzer example (#6744)
* readme: add ollama_moe to community integrations (#6752)
* runner: Flush pending responses before returning
* add "stop" command (#6739)
* refactor show ouput
* readme: add QodeAssist to community integrations (#6754)
* Verify permissions for AMD GPU (#6736)
* add *_proxy for debugging
* docs: update examples to use llama3.1 (#6718)
* Quiet down dockers new lint warnings (#6716)
* catch when model vocab size is set correctly (#6714)
* readme: add crewAI to community integrations (#6699)
* readme: add crewAI with mesop to community integrations
* Tue Sep 17 2024 adrian@suse.de
- Update to version 0.3.10:
* openai: align chat temperature and frequency_penalty options with completion (#6688)
* docs: improve linux install documentation (#6683)
* openai: don't scale temperature or frequency_penalty (#6514)
* readme: add Archyve to community integrations (#6680)
* readme: add Plasmoid Ollama Control to community integrations (#6681)
* Improve logging on GPU too small (#6666)
* openai: fix "presence_penalty" typo and add test (#6665)
* Fix gemma2 2b conversion (#6645)
* Document uninstall on windows (#6663)
* Revert "Detect running in a container (#6495)" (#6662)
* llm: make load time stall duration configurable via OLLAMA_LOAD_TIMEOUT
* Introduce GPU Overhead env var (#5922)
* Detect running in a container (#6495)
* readme: add AiLama to the list of community integrations (#4957)
* Update gpu.md: Add RTX 3050 Ti and RTX 3050 Ti (#5888)
* server: fix blob download when receiving a 200 response (#6656)
* readme: add Gentoo package manager entry to community integrations (#5714)
* Update install.sh：Replace "command -v" with encapsulated functionality (#6035)
* readme: include Enchanted for Apple Vision Pro (#4949)
* readme: add lsp-ai to community integrations (#5063)
* readme: add ollama-php library to community integrations (#6361)
* readme: add vnc-lm discord bot community integration (#6644)
* llm: use json.hpp from common (#6642)
* readme: add confichat to community integrations (#6378)
* docs: add group to manual Linux isntructions and verify service is running (#6430)
* readme: add gollm to the list of community libraries (#6099)
* readme: add Cherry Studio to community integrations (#6633)
* readme: add Go fun package (#6421)
* docs: fix spelling error (#6391)
* install.sh: update instructions to use WSL2 (#6450)
* readme: add claude-dev to community integrations (#6630)
* readme: add PyOllaMx project (#6624)
* llm: update llama.cpp commit to 8962422 (#6618)
* Use cuda v11 for driver 525 and older (#6620)
* Log system memory at info (#6617)
* readme: add Painting Droid community integration (#5514)
* readme: update Ollama4j link and add link to Ollama4j Web UI (#6608)
* Fix sprintf to snprintf (#5664)
* readme: add PartCAD tool to readme for generating 3D CAD models using Ollama (#6605)
* Reduce docker image size (#5847)
* readme: add OllamaFarm project (#6508)
* readme: add go-crew and Ollamaclient projects (#6583)
* docs: update faq.md for OLLAMA_MODELS env var permissions (#6587)
* fix(cmd): show info may have nil ModelInfo (#6579)
* docs: update GGUF examples and references (#6577)
* Add findutils to base images (#6581)
* remove any unneeded build artifacts
* doc: Add Nix and Flox to package manager listing (#6074)
* update the openai docs to explain how to set the context size (#6548)
* fix(test): do not clobber models directory
* add llama3.1 chat template (#6545)
* update deprecated warnings
* validate model path
* throw an error when encountering unsupport tensor sizes (#6538)
* Move ollama executable out of bin dir (#6535)
* update templates to use messages
* more tokenizer tests
* add safetensors to the modelfile docs (#6532)
* Fix import image width (#6528)
* Update manual instructions with discrete ROCm bundle (#6445)
* llm: fix typo in comment (#6530)
* adjust image sizes
* clean up convert tokenizer
* detect chat template from configs that contain lists
* update the import docs (#6104)
* server: clean up route names for consistency (#6524)
* Only enable numa on CPUs (#6484)
* gpu: Group GPU Library sets by variant (#6483)
* update faq
* passthrough OLLAMA_HOST path to client
* convert safetensor adapters into GGUF (#6327)
* gpu: Ensure driver version set before variant (#6480)
* llm: Align cmake define for cuda no peer copy (#6455)
* Fix embeddings memory corruption (#6467)
* llama3.1
* convert gemma2
* create bert models from cli
* bert
* Split rocm back out of bundle (#6432)
* CI: remove directories from dist dir before upload step (#6429)
* CI: handle directories during checksum (#6427)
* Fix overlapping artifact name on CI
* Review comments
* Adjust layout to bin+lib/ollama
* Remove Jetpack
* Add windows cuda v12 + v11 support
* Enable cuda v12 flags
* Add cuda v12 variant and selection logic
* Report GPU variant in log
* Add Jetson cuda variants for arm
* Wire up ccache and pigz in the docker based build
* Refactor linux packaging
* server: limit upload parts to 16 (#6411)
* Fix white space.
* Reset NumCtx.
* Override numParallel only if unset.
* fix: chmod new layer to 0o644 when creating it
* fix: Add tooltip to system tray icon
* only skip invalid json manifests
* skip invalid manifest files
* fix noprune
* add `CONTRIBUTING.md` (#6349)
* Fix typo and improve readability (#5964)
* server: reduce max connections used in download (#6347)
* update chatml template format to latest in docs (#6344)
* lint
* Update openai.md to remove extra checkbox (#6345)
* llama3.1 memory
* Thu Aug 15 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.3.6:
* Fixed issue where /api/embed would return an error instead of
loading the model when the input field was not provided.
* ollama create can now import Phi-3 models from Safetensors
* Added progress information to ollama create when importing GGUF
files
* Ollama will now import GGUF files faster by minimizing file
copies
- Update to version 0.3.6:
* Fixed issue where temporary files would not be cleaned up
* Fix rare error when Ollama would start up due to invalid model
data
* Sun Aug 11 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org>
- Update to version 0.3.4:
* New embedding models
- BGE-M3: a large embedding model from BAAI distinguished for
its versatility in Multi-Functionality, Multi-Linguality, and
Multi-Granularity.
- BGE-Large: a large embedding model trained in english.
- Paraphrase-Multilingual: A multilingual embedding model
trained on parallel data for 50+ languages.
* New embedding API with batch support
- Ollama now supports a new API endpoint /api/embed for
embedding generation:
* This API endpoint supports new features:
- Batches: generate embeddings for several documents in
one request
- Normalized embeddings: embeddings are now normalized,
improving similarity results
- Truncation: a new truncate parameter that will error if
set to false
- Metrics: responses include load_duration, total_duration and
prompt_eval_count metrics
* Sat Aug 03 2024 eyadlorenzo@gmail.com
- Update to version 0.3.3:
* The /api/embed endpoint now returns statistics: total_duration,
load_duration, and prompt_eval_count
* Added usage metrics to the /v1/embeddings OpenAI compatibility
API
* Fixed issue where /api/generate would respond with an empty
string if provided a context
* Fixed issue where /api/generate would return an incorrect
value for context
* /show modefile will now render MESSAGE commands correctly
- Update to version 0.3.2:
* Fixed issue where ollama pull would not resume download
progress
* Fixed issue where phi3 would report an error on older versions
* Tue Jul 30 2024 Adrian Schröter <adrian@suse.de>
- Update to version 0.3.1:
* Added support for min_p sampling option
* Lowered number of requests required when downloading models
with ollama pull
* ollama create will now autodetect required stop parameters
when importing certain models
* Fixed issue where /save would cause parameters to be saved
incorrectly.
* OpenAI-compatible API will now return a finish_reason of
tool_calls if a tool call occured.
* Mon Jul 29 2024 Adrian Schröter <adrian@suse.de>
- fix build on leap 15.6
- exclude builds on 32bit due to build failures
* Sun Jul 28 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.3.0:
* Ollama now supports tool calling with popular models such
as Llama 3.1. This enables a model to answer a given prompt
using tool(s) it knows about, making it possible for models to
perform more complex tasks or interact with the outside world.
* New models:
~ Llama 3.1
~ Mistral Large 2
~ Firefunction v2
~ Llama-3-Groq-Tool-Use
* Fixed duplicate error message when running ollama create
* Wed Jul 24 2024 adrian@suse.de
- Update to version 0.2.8:
* api embed docs (#5282)
* convert: capture `head_dim` for mistral (#5818)
* Update llama.cpp submodule commit to `d94c6e0c` (#5805)
* server: collect nested tool call objects when parsing (#5824)
* Remove no longer supported max vram var
* Refine error reporting for subprocess crash
* Remove out of space test temporarily (#5825)
* llm: consider `head_dim` in llama arch (#5817)
* Adjust windows ROCm discovery
* add patch for tekken (#5807)
* preserve last assistant message (#5802)
* Fix generate test flakyness (#5804)
* server: validate template (#5734)
* OpenAI: Function Based Testing (#5752)
* adjust openai chat msg processing (#5729)
* fix parsing tool calls
* server: check for empty tools array too (#5779)
* always provide content even if empty (#5778)
* server: only parse tool calls if tools are provided (#5771)
* Fix context exhaustion integration test for small gpus
* Refine scheduler unit tests for reliability
* Thu Jul 18 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Fixed issue with shared libraries
* Thu Jul 18 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Added %check section
- Use -v when building
- Update to version 0.2.6:
* New models: MathΣtral is a 7B model designed for math
reasoning and scientific discovery by Mistral AI.
* Fixed issue where uppercase roles such as USER would no longer
work in the chat endpoints
* Fixed issue where empty system message would be included in the
prompt
* Sun Jul 14 2024 eyadlorenzo@gmail.com
- Update to version 0.2.5:
* Fixed issue where a model's SYSTEM message not be applied
- Update to version 0.2.4:
* Fixed issue where context, load_duration and total_duration
fields would not be set in the /api/generate endpoint.
* Ollama will no longer error if loading models larger than
system memory if disk space is available
- Update to version 0.2.3:
* Fix issue where system prompt would not be applied
- Update to version 0.2.2:
* Fixed errors that occurred when using Ollama with Nvidia V100
GPUs
* glm4 models will no longer fail to load from out of memory
errors
* Fixed error that would occur when running deepseek-v2 and
deepseek-coder-v2 models
* Fixed a series of out of memory issues when using Nvidia
GPUs
* Fixed a series of errors that would occur when using multiple
Radeon GPUs
- Update to version 0.2.1:
* Fixed issue where setting OLLAMA_NUM_PARALLEL would cause
models to be reloaded after each request
- Update to version 0.2.0:
* Ollama 0.2.0 is now available with concurrency support.
This unlocks 2 specific features:
~ Ollama can now serve multiple requests at the same time
~ Ollama now supports loading different models at the same time
* New models: GLM-4: A strong multi-lingual general language
model with competitive performance to Llama 3.
* New models: CodeGeeX4: A versatile model for AI software
development scenarios, including code completion.
* New models: Gemma 2: Improved output quality and base text
generation models now available
* Ollama will now show a better error if a model architecture
isn't supported
* Improved handling of quotes and spaces in Modelfile FROM lines
* Ollama will now return an error if the system does not have
enough memory to run a model on Linux
* Sun Jul 07 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.48:
* Fixed issue where Gemma 2 would continuously output when
reaching context limits
* Fixed out of memory and core dump errors when running Gemma 2
* /show info will now show additional model information in
ollama run
* Fixed issue where ollama show would result in an error on
certain vision models
- Update to version 0.1.48:
* Added support for Google Gemma 2 models (9B and 27B)
* Fixed issues with ollama create when importing from Safetensors
* Mon Jun 24 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.46:
* Docs (#5149)
* fix: quantization with template
* Fix use_mmap parsing for modelfiles
* Refine mmap default logic on linux
* Bump latest fedora cuda repo to 39
* Sat Jun 22 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.45:
* New models: DeepSeek-Coder-V2: A 16B & 236B open-source
Mixture-of-Experts code language model that achieves
performance comparable to GPT4-Turbo in code-specific tasks.
* ollama show <model> will now show model information such as
context window size
* Model loading on Windows with CUDA GPUs is now faster
* Setting seed in the /v1/chat/completions OpenAI compatibility
endpoint no longer changes temperature
* Enhanced GPU discovery and multi-gpu support with concurrency
* Introduced a workaround for AMD Vega RX 56 SDMA support on
Linux
* Fix memory prediction for deepseek-v2 and deepseek-coder-v2
models
* api/show endpoint returns extensive model metadata
* GPU configuration variables are now reported in ollama serve
* Update Linux ROCm to v6.1.1
* Tue Jun 18 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Added documentation files to .spec
- Update to version 0.1.44:
* Fixed issue where unicode characters such as emojis would not
be loaded correctly when running ollama create
* Fixed certain cases where Nvidia GPUs would not be detected and
reported as compute capability 1.0 devices
- Update to version 0.1.43:
* New import.md guide for converting and importing models to
Ollama
* Fixed issue where embedding vectors resulting from
/api/embeddings would not be accurate
* JSON mode responses will no longer include invalid escape
characters
* Removing a model will no longer show incorrect File not found
errors
* Fixed issue where running ollama create would result in an
error on Windows with certain file formatting
- Update to version 0.1.42:
* New models: Qwen 2: a new series of large language models
from Alibaba group
* Qwen 2: a new series of large language models from Alibaba
group
* ollama pull is now faster if it detects a model is already
downloaded
* ollama create will now automatically detect prompt templates
for popular model architectures such as Llama, Gemma, Phi and
more.
* Ollama can now be accessed from local apps built with Electron
and Tauri, as well as in developing apps in local html files
* Update welcome prompt in Windows to llama3
* Fixed issues where /api/ps and /api/tags would show invalid
timestamps in responses
- Update to version 0.1.41:
* Fixed issue on Windows 10 and 11 with Intel CPUs with
integrated GPUs where Ollama would encounter an error
* Sat Jun 01 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.40:
* New model: Codestral: Codestral is Mistral AI’s first-ever code
model designed for code generation tasks.
* New model: IBM Granite Code: now in 3B and 8B parameter sizes.
* New model: Deepseek V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language Model
* Fixed out of memory and incorrect token issues when running
Codestral on 16GB Macs
* Fixed issue where full-width characters (e.g. Japanese,
Chinese, Russian) were deleted at end of the line when using
ollama run
* Wed May 29 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.39:
* New model: Cohere Aya 23: A new state-of-the-art, multilingual
LLM covering 23 different languages.
* New model: Mistral 7B 0.3: A new version of Mistral 7B with
initial support for function calling.
* New model: Phi-3 Medium: a 14B parameters, lightweight,
state-of-the-art open model by Microsoft.
* New model: Phi-3 Mini 128K and Phi-3 Medium 128K: versions of
the Phi-3 models that support a context window size of 128K
* New model: Granite code: A family of open foundation models by
IBM for Code Intelligence
* It is now possible to import and quantize Llama 3 and its
finetunes from Safetensors format to Ollama.
* Full changelog at
https://github.com/ollama/ollama/releases/tag/v0.1.39
* Wed May 22 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Added 15.6 build
* Thu May 16 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.38:
* New model: Falcon 2: A new 11B parameters causal decoder-only
model built by TII and trained over 5T tokens.
* New model: Yi 1.5: A new high-performing version of Yi, now
licensed as Apache 2.0. Available in 6B, 9B and 34B sizes.
* Added ollama ps command
* Added /clear command
* Fixed issue where switching loaded models on Windows would take
several seconds
* Running /save will no longer abort the chat session if an
incorrect name is provided
* The /api/tags API endpoint will now correctly return an empty
list [] instead of null if no models are provided
* Sun May 12 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.37:
* Fixed issue where models with uppercase characters in the name
would not show with ollama list
* Fixed usage string for ollama create
* Fix finish_reason being "" instead of null in the Open-AI
compatible chat API.
* Sun May 12 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Use obs_scm service instead of the deprecated tar_scm
- Use zstd for vendor tarball compression
* Sun May 12 2024 Eyad Issa <eyadlorenzo@gmail.com>
- Update to version 0.1.36:
* Fixed exit status 0xc0000005 error with AMD graphics cards on Windows
* Fixed rare out of memory errors when loading a model to run with CPU
- Update to version 0.1.35:
* New models: Llama 3 ChatQA: A model from NVIDIA based on Llama
3 that excels at conversational question answering (QA) and
retrieval-augmented generation (RAG).
* Quantization: ollama create can now quantize models when
importing them using the --quantize or -q flag
* Fixed issue where inference subprocesses wouldn't be cleaned up
on shutdown.
* Fixed a series out of memory errors when loading models on
multi-GPU systems
* Ctrl+J characters will now properly add newlines in ollama run
* Fixed issues when running ollama show for vision models
* OPTIONS requests to the Ollama API will no longer result in
errors
* Fixed issue where partially downloaded files wouldn't be
cleaned up
* Added a new done_reason field in responses describing why
generation stopped responding
* Ollama will now more accurately estimate how much memory
is available on multi-GPU systems especially when running
different models one after another
- Update to version 0.1.34:
* New model: Llava Llama 3
* New model: Llava Phi 3
* New model: StarCoder2 15B Instruct
* New model: CodeGemma 1.1
* New model: StableLM2 12B
* New model: Moondream 2
* Fixed issues with LLaVa models where they would respond
incorrectly after the first request
* Fixed out of memory errors when running large models such as
Llama 3 70B
* Fixed various issues with Nvidia GPU discovery on Linux and
Windows
* Fixed a series of Modelfile errors when running ollama create
* Fixed no slots available error that occurred when cancelling a
request and then sending follow up requests
* Improved AMD GPU detection on Fedora
* Improved reliability when using the experimental
OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED flags
* ollama serve will now shut down quickly, even if a model is
loading
- Update to version 0.1.33:
* New model: Llama 3
* New model: Phi 3 Mini
* New model: Moondream
* New model: Llama 3 Gradient 1048K
* New model: Dolphin Llama 3
* New model: Qwen 110B
* Fixed issues where the model would not terminate, causing the
API to hang.
* Fixed a series of out of memory errors on Apple Silicon Macs
* Fixed out of memory errors when running Mixtral architecture
models
* Aded experimental concurrency features:
~ OLLAMA_NUM_PARALLEL: Handle multiple requests simultaneously
for a single model
~ OLLAMA_MAX_LOADED_MODELS: Load multiple models simultaneously
* Tue Apr 23 2024 rrahl0@disroot.org
- Update to version 0.1.32:
* scale graph based on gpu count
* Support unicode characters in model path (#3681)
* darwin: no partial offloading if required memory greater than system
* update llama.cpp submodule to `7593639` (#3665)
* fix padding in decode
* Revert "cmd: provide feedback if OLLAMA_MODELS is set on non-serve command (#3470)" (#3662)
* Added Solar example at README.md (#3610)
* Update langchainjs.md (#2030)
* Added MindsDB information (#3595)
* examples: add more Go examples using the API (#3599)
* Update modelfile.md
* Add llama2 / torch models for `ollama create` (#3607)
* Terminate subprocess if receiving `SIGINT` or `SIGTERM` signals while model is loading (#3653)
* app: gracefully shut down `ollama serve` on windows (#3641)
* types/model: add path helpers (#3619)
* update llama.cpp submodule to `4bd0f93` (#3627)
* types/model: make ParseName variants less confusing (#3617)
* types/model: remove (*Digest).Scan and Digest.Value (#3605)
* Fix rocm deps with new subprocess paths
* mixtral mem
* Revert "types/model: remove (*Digest).Scan and Digest.Value (#3589)"
* types/model: remove (*Digest).Scan and Digest.Value (#3589)
* types/model: remove DisplayLong (#3587)
* types/model: remove MarshalText/UnmarshalText from Digest (#3586)
* types/model: init with Name and Digest types (#3541)
* server: provide helpful workaround hint when stalling on pull (#3584)
* partial offloading
* refactor tensor query
* api: start adding documentation to package api (#2878)
* examples: start adding Go examples using api/ (#2879)
* Handle very slow model loads
* fix: rope
* Revert "build.go: introduce a friendlier way to build Ollama (#3548)" (#3564)
* build.go: introduce a friendlier way to build Ollama (#3548)
* update llama.cpp submodule to `1b67731` (#3561)
* ci: use go-version-file
* Correct directory reference in macapp/README (#3555)
* cgo quantize
* no blob create if already exists
* update generate scripts with new `LLAMA_CUDA` variable, set `HIP_PLATFORM` to avoid compiler errors (#3528)
* Docs: Remove wrong parameter for Chat Completion (#3515)
* no rope parameters
* add command-r graph estimate
* Fail fast if mingw missing on windows
* use an older version of the mac os sdk in release (#3484)
* Add test case for context exhaustion
* CI missing archive
* fix dll compress in windows building
* CI subprocess path fix
* Fix CI release glitches
* update graph size estimate
* Fix macOS builds on older SDKs (#3467)
* cmd: provide feedback if OLLAMA_MODELS is set on non-serve command (#3470)
* feat: add OLLAMA_DEBUG in ollama server help message (#3461)
* Revert options as a ref in the server
* default head_kv to 1
* fix metal gpu
* Bump to b2581
* Refined min memory from testing
* Release gpu discovery library after use
* Safeguard for noexec
* Detect too-old cuda driver
* Integration test improvements
* Apply 01-cache.diff
* Switch back to subprocessing for llama.cpp
* Simplify model conversion (#3422)
* fix generate output
* update memory calcualtions
* refactor model parsing
* Add chromem-go to community integrations (#3437)
* Update README.md (#3436)
* Community Integration: CRAG Ollama Chat (#3423)
* Update README.md (#3378)
* Community Integration: ChatOllama (#3400)
* Update 90_bug_report.yml
* Add gemma safetensors conversion (#3250)
* CI automation for tagging latest images
* Bump ROCm to 6.0.2 patch release
* CI windows gpu builds
* Update troubleshooting link
* fix: trim quotes on OLLAMA_ORIGINS
- add set_version to automatically switch over to the newer version
* Tue Apr 16 2024 bwiedemann@suse.com
- Update to version 0.1.31:
* Backport MacOS SDK fix from main
* Apply 01-cache.diff
* fix: workflows
* stub stub
* mangle arch
* only generate on changes to llm subdirectory
* only generate cuda/rocm when changes to llm detected
* Detect arrow keys on windows (#3363)
* add license in file header for vendored llama.cpp code (#3351)
* remove need for `$VSINSTALLDIR` since build will fail if `ninja` cannot be found (#3350)
* change `github.com/jmorganca/ollama` to `github.com/ollama/ollama` (#3347)
* malformed markdown link (#3358)
* Switch runner for final release job
* Use Rocky Linux Vault to get GCC 10.2 installed
* Revert "Switch arm cuda base image to centos 7"
* Switch arm cuda base image to centos 7
* Bump llama.cpp to b2527
* Fix ROCm link in `development.md`
* adds ooo to community integrations (#1623)
* Add cliobot to ollama supported list (#1873)
* Add Dify.AI to community integrations (#1944)
* enh: add ollero.nvim to community applications (#1905)
* Add typechat-cli to Terminal apps (#2428)
* add new Web & Desktop link in readme for alpaca webui (#2881)
* Add LibreChat to Web & Desktop Apps (#2918)
* Add Community Integration: OllamaGUI (#2927)
* Add Community Integration: OpenAOE (#2946)
* Add Saddle (#3178)
* tlm added to README.md terminal section. (#3274)
* Update README.md (#3288)
* Update README.md (#3338)
* Integration tests conditionally pull
* add support for libcudart.so for CUDA devices (adds Jetson support)
* llm: prevent race appending to slice (#3320)
* Bump llama.cpp to b2510
* Add Testcontainers into Libraries section (#3291)
* Revamp go based integration tests
* rename `.gitattributes`
* Bump llama.cpp to b2474
* Add docs for GPU selection and nvidia uvm workaround
* doc: faq gpu compatibility (#3142)
* Update faq.md
* Better tmpdir cleanup
* Update faq.md
* update `faq.md`
* dyn global
* llama: remove server static assets (#3174)
* add `llm/ext_server` directory to `linguist-vendored` (#3173)
* Add Radeon gfx940-942 GPU support
* Wire up more complete CI for releases
* llm,readline: use errors.Is instead of simple == check (#3161)
* server: replace blob prefix separator from ':' to '-' (#3146)
* Add ROCm support to linux install script (#2966)
* .github: fix model and feature request yml (#3155)
* .github: add issue templates (#3143)
* fix: clip memory leak
* Update README.md
* add `OLLAMA_KEEP_ALIVE` to environment variable docs for `ollama serve` (#3127)
* Default Keep Alive environment variable (#3094)
* Use stdin for term discovery on windows
* Update ollama.iss
* restore locale patch (#3091)
* token repeat limit for prediction requests (#3080)
* Fix iGPU detection for linux
* add more docs on for the modelfile message command (#3087)
* warn when json format is expected but not mentioned in prompt (#3081)
* Adapt our build for imported server.cpp
* Import server.cpp as of b2356
* refactor readseeker
* Add docs explaining GPU selection env vars
* chore: fix typo (#3073)
* fix gpu_info_cuda.c compile warning (#3077)
* use `-trimpath` when building releases (#3069)
* relay load model errors to the client (#3065)
* Update troubleshooting.md
* update llama.cpp submodule to `ceca1ae` (#3064)
* convert: fix shape
* Avoid rocm runner and dependency clash
* fix `03-locale.diff`
* Harden for deps file being empty (or short)
* Add ollama executable peer dir for rocm
* patch: use default locale in wpm tokenizer (#3034)
* only copy deps for `amd64` in `build_linux.sh`
* Rename ROCm deps file to avoid confusion (#3025)
* add `macapp` to `.dockerignore`
* add `bundle_metal` and `cleanup_metal` funtions to `gen_darwin.sh`
* tidy cleanup logs
* update llama.cpp submodule to `77d1ac7` (#3030)
* disable gpu for certain model architectures and fix divide-by-zero on memory estimation
* Doc how to set up ROCm builds on windows
* Finish unwinding idempotent payload logic
* update llama.cpp submodule to `c2101a2` (#3020)
* separate out `isLocalIP`
* simplify host checks
* add additional allowed hosts
* Update docs `README.md` and table of contents
* add allowed host middleware and remove `workDir` middleware (#3018)
* decode ggla
* convert: fix default shape
* fix: allow importing a model from name reference (#3005)
* update llama.cpp submodule to `6cdabe6` (#2999)
* Update api.md
* Revert "adjust download and upload concurrency based on available bandwidth" (#2995)
* cmd: tighten up env var usage sections (#2962)
* default terminal width, height
* Refined ROCm troubleshooting docs
* Revamp ROCm support
* update go to 1.22 in other places (#2975)
* docs: Add LLM-X to Web Integration section (#2759)
* fix some typos (#2973)
* Convert Safetensors to an Ollama model (#2824)
* Allow setting max vram for workarounds
* cmd: document environment variables for serve command
* Add Odin Runes, a Feature-Rich Java UI for Ollama, to README (#2440)
* Update api.md
* Add NotesOllama to Community Integrations (#2909)
* Added community link for Ollama Copilot (#2582)
* use LimitGroup for uploads
* adjust group limit based on download speed
* add new LimitGroup for dynamic concurrency
* refactor download run
* Wed Mar 06 2024 computersemiexpert@outlook.com
- Update to version 0.1.28:
* Fix embeddings load model behavior (#2848)
* Add Community Integration: NextChat (#2780)
* prepend image tags (#2789)
* fix: print usedMemory size right (#2827)
* bump submodule to `87c91c07663b707e831c59ec373b5e665ff9d64a` (#2828)
* Add ollama user to video group
* Add env var so podman will map cuda GPUs
* Tue Feb 27 2024 Jan Engelhardt <jengelh@inai.de>
- Edit description, answer _what_ the package is and use nominal
phrase. (https://en.opensuse.org/openSUSE:Package_description_guidelines)
* Fri Feb 23 2024 Loren Burkholder <computersemiexpert@outlook.com>
- Added the Ollama package
- Included a systemd service
/usr/lib64/ollama/libggml-vulkan.so
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