Ollama v0.1.9 — Release Notes & Engineering Impact
Ollama v0.1.9. Source highlight: Yi: a high-performing, bilingual model supporting both English and Chinese.
1172 tracked entries. Older history is imported progressively; see source coverage.
Ollama v0.1.9. Source highlight: Yi: a high-performing, bilingual model supporting both English and Chinese.
Dify 0.3.29. Source highlight: App Moderation Support [DOCS WIP]
Ollama v0.1.8. Source highlight: CodeBooga: A high-performing code instruct model created by merging two existing code models.
Hugging Face Transformers v4.35.0. Source highlight: Distil-Whisper is a distilled version of Whisper that is 6 times faster, 49% smaller, and performs within 1% word error rate (WER) on out-of-distribution data. It was proposed in the paper Robust Knowledge Distillation via Large-Scale Pseudo Labelling.
LocalAI v1.40.0. Source highlight: This release is a preparation before v2 - the efforts now will be to refactor, polish and add new backends. Follow up on: https://github.com/mudler/LocalAI/issues/1126
Ollama v0.1.7. Source highlight: Fixed an issue when running `ollama run` where certain key combinations such as Ctrl+Space would lead to an unresponsive prompt
Ollama v0.1.6. Source highlight: Dolphin 2.1 Mistral: an instruct-tuned model based on Mistral and trained on a dataset filtered to remove alignment and bias.
Ollama v0.1.5. Source highlight: Fix an issue where an error would occur when running `falcon` or `starcoder` models
Ollama v0.1.4. Source highlight: OpenHermes 2 Mistral: a new fine-tuned model based on Mistral, trained on open datasets totalling over 900,000 instructions. This model has strong multi-turn chat skills, surpassing previous Hermes 13B models and even matching 70B models on some benchmarks.
Hugging Face Transformers v4.34.1. Source highlight: A patch release was made for the following three commits:
vLLM v0.2.1.post1 is published, but the available notes are too limited to assess upgrade impact. Review the official source before upgrading.
vLLM v0.2.1. Source highlight: PagedAttention V2 kernel: Up to 20% end-to-end latency reduction
Dify 0.3.28. Source highlight: fix: new app with template display
Ollama v0.1.3. Source highlight: Improved various API error messages to be easier to read
Ollama v0.1.2. Source highlight: Zephyr A fine-tuned 7B version of mistral that was trained on a mix of publicly available, synthetic datasets and performs as well as Llama 2 70B in many benchmarks
Dify 0.3.27. Source highlight: feat: using random sampling to check if it violates the review mechan…
Dify 0.3.26. Source highlight: document segmentApi Add get&update&delete operate
Dify 0.3.25. Source highlight: fix: request timeout when openai completion
Hugging Face Transformers v4.34.0. Source highlight: Mistral-7B-v0.1 is a decoder-based LM with the following architectural choices:
Ollama v0.1.1. Source highlight: Cancellable responses: `Ctrl+C` will now cancel responses when running `ollama run`
vLLM v0.2.0. Source highlight: Up to 60% performance improvement by optimizing de-tokenization and sampler
Dify 0.3.24. Source highlight: add help wanted issue template
Hugging Face Transformers v4.33.3. Source highlight: A patch release was made for the following three commits:
LocalAI v1.30.0. Source highlight: This is an exciting LocalAI release! Besides bug-fixes and enhancements this release brings the new backend to a whole new level by extending support to `vllm` and `vall-e-x` for audio generation!
Ollama v0.1.0. Source highlight: Ollama for Linux is now available, with GPU acceleration enabled out-of-the-box for Nvidia GPUs.
Ollama v0.0.21. Source highlight: Fixed an issue where empty responses would be returned if `template` was provided in the api, but not `prompt`
Ollama v0.0.20. Source highlight: `ollama run` has a new & improved experience:
Dify 0.3.23. Source highlight: feat: spark free quota verify
Hugging Face Transformers v4.33.2. Source highlight: A patch release was done for these two commits:
Ollama v0.0.19. Source highlight: Updated Docker image for Ollama `docker pull ollama/ollama`
vLLM v0.1.7. Source highlight: A minor release to fix the bugs in ALiBi, Falcon-40B, and Code Llama.
Dify 0.3.22. Source highlight: Notice: if you're upgrading from before version 0.3.21, make sure you've read the **BREAKING CHANGE** in version 0.3.21: https://github.com/langgenius/dify/releases/tag/0.3.21
Dify 0.3.21. Source highlight: ⚠️ [BREAKING CHANGE] ⚠️
Dify 0.3.20. Source highlight: feat: optimize generation of conversation title
vLLM v0.1.6. Source highlight: **Note:** This is an emergency release to revert a breaking API change that can make many existing codes using AsyncLLMServer not work.
vLLM v0.1.5. Source highlight: Align beam search with `hf_model.generate`.
Hugging Face Transformers v4.33.1. Source highlight: Falcon is a class of causal decoder-only models built by TII. The largest Falcon checkpoints have been trained on >=1T tokens of text, with a particular emphasis on the RefinedWeb corpus. They are made available under the Apache 2.0 license.
Ollama v0.0.18. Source highlight: New `ollama show` command for viewing details about a model:
Dify 0.3.19. Source highlight: document limit
Ollama v0.0.17. Source highlight: Multiple models can be removed together: `ollama rm mario:latest orca-mini:3b`
Hugging Face Transformers v4.32.1. Source highlight: Patch release including several patches from v4.31.0, listed below:
LocalAI v1.25.0. Source highlight: feat: bump llama.cpp, add gguf support
Ollama v0.0.16. Source highlight: Ollama version can be checked by running `ollama -v` or `ollama --version`
vLLM v0.1.4. Source highlight: From now on, vLLM is published with pre-built CUDA binaries. Users don't have to compile the vLLM's CUDA kernels on their machine.
Dify 0.3.18. Source highlight: feat: remove unnecessary prompt of baichuan
Dify 0.3.17. Source highlight: feat: adjust hf max tokens
Dify 0.3.16. Source highlight: normalize embedding
Dify 0.3.15. Source highlight: feat: add spark v2 support
Hugging Face Transformers v4.32.0. Source highlight: The IDEFICS model was proposed in OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents by Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sa
Ollama v0.0.15. Source highlight: 📍 Ollama model list is now available