v1.15

Backend updates

• Transformers: bump to 4.45.
• ExLlamaV2: bump to 0.2.3.
  • ExllamaV2 tensor parallelism to increase multi gpu inference speeds (#6356). Thanks @RandomInternetPreson.
• flash-attention: bump to 2.6.3.
• llama-cpp-python: bump to 0.3.1.
• bitsandbytes: bump to 0.44.
• PyTorch: bump to 2.4.1.
• ROCm: bump wheels to 6.1.2.
• Remove AutoAWQ, AutoGPTQ, HQQ, and AQLM from requirements.txt:
  • AutoAWQ and AutoGPTQ were removed due to lack of support for PyTorch 2.4.1 and CUDA 12.1.
  • HQQ and AQLM were removed to make the project leaner since they're experimental with limited use.
  • You can still install those libraries manually if you are interested.

Changes

• Exclude Top Choices (XTC): A sampler that boosts creativity, breaks writing clichés, and inhibits non-verbatim repetition (#6335). Thanks @p-e-w.
• Make it possible to sort repetition penalties with "Sampler priority". The new keywords are:
  • repetition_penalty
  • presence_penalty
  • frequency_penalty
  • dry
  • encoder_repetition_penalty
  • no_repeat_ngram
  • xtc (not a repetition penalty but also added in this update)
• Don't import PEFT unless necessary. This makes the web UI launch faster.
• Add beforeunload event to add confirmation dialog when leaving page (#6279). Thanks @leszekhanusz.
• update API documentation with examples to list/load models (#5902). Thanks @joachimchauvet.
• Training pro update script.py (#6359). Thanks @FartyPants.

Bug fixes

• Fix UnicodeDecodeError for BPE-based Models (especially GLM-4) (#6357). Thanks @GralchemOz.
• API: Relax multimodal format, fixes HuggingFace Chat UI (#6353). Thanks @Papierkorb.
• Force /bin/bash shell for conda (#6386). Thanks @Thireus.
• Do not set value for histories in chat when --multi-user is used (#6317). Thanks @mashb1t.
• typo in OpenAI response format (#6365). Thanks @jsboige.