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__init__.py
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adb6982090
models: add support for IBM Granite (PowerLM) models (#978)
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arctic.py
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core: support logprobs with multi-step scheduling (#963)
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baichuan.py
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core: support logprobs with multi-step scheduling (#963)
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bart.py
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core: support logprobs with multi-step scheduling (#963)
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blip.py
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vlm: add tensor parallel support for vision transformer models (#971)
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blip2.py
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vlm: add tensor parallel support for vision transformer models (#971)
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bloom.py
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core: support logprobs with multi-step scheduling (#963)
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chameleon.py
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core: support logprobs with multi-step scheduling (#963)
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chatglm.py
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core: support logprobs with multi-step scheduling (#963)
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clip.py
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b4a1e2fd02
vlm: add tensor parallel support for vision transformer models (#971)
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commandr.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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dbrx.py
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core: support logprobs with multi-step scheduling (#963)
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decilm.py
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9022c6d869
remove progress_bar imports
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deepseek.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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deepseek_v2.py
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core: support logprobs with multi-step scheduling (#963)
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eagle.py
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core: support logprobs with multi-step scheduling (#963)
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exaone.py
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core: support logprobs with multi-step scheduling (#963)
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falcon.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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fuyu.py
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core: support logprobs with multi-step scheduling (#963)
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gemma.py
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core: support logprobs with multi-step scheduling (#963)
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gemma2.py
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core: support logprobs with multi-step scheduling (#963)
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gpt2.py
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core: support logprobs with multi-step scheduling (#963)
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gpt_bigcode.py
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core: support logprobs with multi-step scheduling (#963)
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gpt_j.py
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core: support logprobs with multi-step scheduling (#963)
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gpt_neox.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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granite.py
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adb6982090
models: add support for IBM Granite (PowerLM) models (#978)
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idefics2_vision_model.py
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f1d0b77c92
[0.6.0] Release Candidate (#481)
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interfaces.py
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feat: support profiling with multiple multi-modal inputs per prompt (#712)
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intern_vit.py
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b4a1e2fd02
vlm: add tensor parallel support for vision transformer models (#971)
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internlm2.py
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a8bdd488b9
distributed: support pipeline parallelism for internvl and internlm2 (#965)
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internvl.py
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a8bdd488b9
distributed: support pipeline parallelism for internvl and internlm2 (#965)
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jais.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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jamba.py
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core: support logprobs with multi-step scheduling (#963)
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llama.py
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core: support logprobs with multi-step scheduling (#963)
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llama_embedding.py
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9022c6d869
remove progress_bar imports
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llava.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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llava_next.py
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core: support logprobs with multi-step scheduling (#963)
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mamba.py
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core: support logprobs with multi-step scheduling (#963)
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mamba_cache.py
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bf88c8567e
feat: mamba model support (#674)
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medusa.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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minicpm.py
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core: support logprobs with multi-step scheduling (#963)
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minicpmv.py
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mixtral.py
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core: support logprobs with multi-step scheduling (#963)
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mixtral_quant.py
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core: support logprobs with multi-step scheduling (#963)
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mlp_speculator.py
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core: support logprobs with multi-step scheduling (#963)
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mpt.py
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core: support logprobs with multi-step scheduling (#963)
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na_vit.py
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9f3e7c86e2
feat: add fused Marlin MoE kernel (#934)
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nemotron.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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olmo.py
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core: support logprobs with multi-step scheduling (#963)
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olmoe.py
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core: support logprobs with multi-step scheduling (#963)
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opt.py
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orion.py
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core: support logprobs with multi-step scheduling (#963)
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paligemma.py
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b4a1e2fd02
vlm: add tensor parallel support for vision transformer models (#971)
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persimmon.py
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core: support logprobs with multi-step scheduling (#963)
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phi.py
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core: support logprobs with multi-step scheduling (#963)
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phi3_small.py
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core: support logprobs with multi-step scheduling (#963)
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phi3v.py
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b4a1e2fd02
vlm: add tensor parallel support for vision transformer models (#971)
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phimoe.py
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201db10f02
models: add support for Phi3 MoE
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qwen.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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qwen2.py
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core: support logprobs with multi-step scheduling (#963)
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qwen2_moe.py
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core: support logprobs with multi-step scheduling (#963)
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siglip.py
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b4a1e2fd02
vlm: add tensor parallel support for vision transformer models (#971)
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solar.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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stablelm.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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starcoder2.py
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core: support logprobs with multi-step scheduling (#963)
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ultravox.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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utils.py
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a8bdd488b9
distributed: support pipeline parallelism for internvl and internlm2 (#965)
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xverse.py
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0dfa6b60ec
core: support logprobs with multi-step scheduling (#963)
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AlpinDale
adb6982090
models: add support for IBM Granite (PowerLM) models (#978)