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