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__init__.py
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a5bfc2bc3d
VLM: add support for LLaVA-Onevision model (#1100)
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1 kuukausi sitten |
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arctic.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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baichuan.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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bart.py
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a985143768
core: add cuda graph support for encoder-decoder models (#1051)
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2 kuukautta sitten |
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blip.py
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7ce3174039
VLM: refactor blip models to support composite weight loading (#1098)
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1 kuukausi sitten |
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blip2.py
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7ce3174039
VLM: refactor blip models to support composite weight loading (#1098)
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1 kuukausi sitten |
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bloom.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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chameleon.py
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651678d2df
VLM: use `SequenceData.from_token_counts` to create dummy data (#1093)
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1 kuukausi sitten |
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chatglm.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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clip.py
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80be38ca6f
chore: expose phi3_v num_crops as an mm_processor_kwargs (#1117)
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1 kuukausi sitten |
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commandr.py
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135dfd648b
fix: LoRA support for Cohere and Jamba models (#1004)
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2 kuukautta sitten |
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dbrx.py
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b65449b5ad
moe: refactor DBRX experts to support FusedMoE (#1095)
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1 kuukausi sitten |
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decilm.py
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9022c6d869
remove progress_bar imports
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4 kuukautta sitten |
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deepseek.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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deepseek_v2.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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eagle.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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exaone.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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falcon.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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fuyu.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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gemma.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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gemma2.py
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b33cf04386
quants: add bitsandbytes support for gemma2 model (#1026)
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2 kuukautta sitten |
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gpt2.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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gpt_bigcode.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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gpt_j.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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gpt_neox.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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granite.py
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11f49b5341
fix: granite logit scale in logit computation (#1054)
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2 kuukautta sitten |
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idefics2_vision_model.py
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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6 kuukautta sitten |
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interfaces.py
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0b8b407b6d
feat: support profiling with multiple multi-modal inputs per prompt (#712)
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6 kuukautta sitten |
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intern_vit.py
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f56d6b396a
vlm: fallback to SDPA for ViT models on CPU backend (#982)
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2 kuukautta sitten |
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internlm2.py
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7632f91429
fix: InternLM2 model with Tensor Parallel (#980)
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2 kuukautta sitten |
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internvl.py
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91d03c04d2
VLM: refactor composite weight loading logic (#1097)
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1 kuukausi sitten |
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jais.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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jamba.py
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135dfd648b
fix: LoRA support for Cohere and Jamba models (#1004)
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2 kuukautta sitten |
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llama.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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llama_embedding.py
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9022c6d869
remove progress_bar imports
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4 kuukautta sitten |
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llava.py
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91d03c04d2
VLM: refactor composite weight loading logic (#1097)
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1 kuukausi sitten |
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llava_next.py
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7ce3174039
VLM: refactor blip models to support composite weight loading (#1098)
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1 kuukausi sitten |
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llava_next_video.py
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91d03c04d2
VLM: refactor composite weight loading logic (#1097)
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1 kuukausi sitten |
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llava_onevision.py
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a5bfc2bc3d
VLM: add support for LLaVA-Onevision model (#1100)
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1 kuukausi sitten |
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mamba.py
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3bb0f07461
chore: rename `task_handler` to `worker` (#985)
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2 kuukautta sitten |
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mamba_cache.py
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a113309876
kernel: add meta functions for ops to prevent graph breaks (#1019)
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2 kuukautta sitten |
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medusa.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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minicpm.py
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ce7b602f03
model: add support for MiniCPM-3 (#1044)
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2 kuukautta sitten |
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minicpm3.py
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ce7b602f03
model: add support for MiniCPM-3 (#1044)
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2 kuukautta sitten |
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minicpmv.py
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651678d2df
VLM: use `SequenceData.from_token_counts` to create dummy data (#1093)
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1 kuukausi sitten |
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mixtral.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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mixtral_quant.py
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fa84f8102e
kernels: split marlin kernels for faster compile, fix MoE, temporarily remove HQQ (#1119)
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1 kuukausi sitten |
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mlp_speculator.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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molmo.py
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acc0c727c8
vlm: add support for molmo vision model (#1069)
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2 kuukautta sitten |
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mpt.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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na_vit.py
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9f3e7c86e2
feat: add fused Marlin MoE kernel (#934)
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2 kuukautta sitten |
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nemotron.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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olmo.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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olmoe.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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opt.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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orion.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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paligemma.py
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91d03c04d2
VLM: refactor composite weight loading logic (#1097)
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1 kuukausi sitten |
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persimmon.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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phi.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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phi3.py
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ec17b6c4d0
fix: Phi3.5 Mini and MoE LoRA inference (#1070)
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2 kuukautta sitten |
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phi3_small.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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phi3v.py
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80be38ca6f
chore: expose phi3_v num_crops as an mm_processor_kwargs (#1117)
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1 kuukausi sitten |
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phimoe.py
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ec17b6c4d0
fix: Phi3.5 Mini and MoE LoRA inference (#1070)
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2 kuukautta sitten |
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pixtral.py
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651678d2df
VLM: use `SequenceData.from_token_counts` to create dummy data (#1093)
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1 kuukausi sitten |
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qwen.py
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651678d2df
VLM: use `SequenceData.from_token_counts` to create dummy data (#1093)
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1 kuukausi sitten |
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qwen2.py
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c90abcc603
VLM: add pipeline parallelism support for Qwen2-VL (#1103)
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1 kuukausi sitten |
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qwen2_moe.py
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5224389dae
chore: skip loading extra bias for qwen2 moe GPTQ (#1011)
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2 kuukautta sitten |
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qwen2_vl.py
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c90abcc603
VLM: add pipeline parallelism support for Qwen2-VL (#1103)
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1 kuukausi sitten |
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siglip.py
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a5bfc2bc3d
VLM: add support for LLaVA-Onevision model (#1100)
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1 kuukausi sitten |
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solar.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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stablelm.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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starcoder2.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
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ultravox.py
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18e0b0e932
chore: support loading weights by ID within models (#1116)
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1 kuukausi sitten |
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utils.py
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91d03c04d2
VLM: refactor composite weight loading logic (#1097)
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1 kuukausi sitten |
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xverse.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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2 kuukautta sitten |
AlpinDale
fa84f8102e
kernels: split marlin kernels for faster compile, fix MoE, temporarily remove HQQ (#1119)