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__init__.py
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Refactor bigdl.llm to ipex_llm (#24)
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2024-03-22 15:41:21 +08:00 |
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aquila.py
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refactor attention_softmax (#12295)
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2024-10-30 13:20:50 +08:00 |
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baichuan.py
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Fix several models based on sdp api change (#13075)
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2025-04-15 11:13:12 +08:00 |
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baichuan_m1.py
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add basic support for Baichuan-M1-14B-Instruct (#12808)
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2025-02-11 17:27:42 +08:00 |
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bert.py
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Update bert optimization to fit higher transformers/torch version (#13006)
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2025-03-25 16:12:03 +08:00 |
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bloom.py
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refactor qwen2 and llama3 (#12587)
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2024-12-20 13:25:25 +08:00 |
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chatglm.py
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Fix several models based on sdp api change (#13075)
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2025-04-15 11:13:12 +08:00 |
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chatglm2.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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chatglm4.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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chatglm4v.py
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glm 4v 1st sdp for vision (#12904)
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2025-02-28 13:23:27 +08:00 |
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common.py
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Refactor some functions to ipex_llm.transformers.models.common (#13091)
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2025-04-18 11:15:43 +08:00 |
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decilm.py
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fix llama related import (#12611)
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2024-12-25 16:23:52 +08:00 |
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deepseek.py
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Refactor some functions to ipex_llm.transformers.models.common (#13091)
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2025-04-18 11:15:43 +08:00 |
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deepseek_v3.py
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LLM: Support hybrid convert for DeepSeek V3/R1 (#12834)
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2025-02-19 11:31:19 +08:00 |
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gemma.py
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refactor attention_softmax (#12295)
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2024-10-30 13:20:50 +08:00 |
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gemma2.py
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optimize minicpm3 again (#12047)
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2024-09-10 14:19:57 +08:00 |
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glm.py
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Refactor some functions to ipex_llm.transformers.models.common (#13091)
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2025-04-18 11:15:43 +08:00 |
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gpt2.py
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refactor mllama, gpt2 and internvl (#12602)
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2024-12-24 14:18:31 +08:00 |
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gptbigcode.py
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Fix Starcoder issue on CPU on transformers 4.36+ (#11190)
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2024-06-04 10:05:40 -07:00 |
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gptneox.py
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refactor ot remove old rope usage (#12224)
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2024-10-17 17:06:09 +08:00 |
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internlm.py
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refactor to simplify following upgrade 2 (#12685)
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2025-01-10 09:29:03 +08:00 |
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internvl.py
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refactor mllama, gpt2 and internvl (#12602)
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2024-12-24 14:18:31 +08:00 |
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janus.py
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support and optimize janus pro (#12813)
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2025-02-12 15:07:24 +08:00 |
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llama.py
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Fix deepseek coder with linear rope type support on GPU (#12709)
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2025-01-15 21:12:34 +08:00 |
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minicpm.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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minicpm3.py
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optimize attention part of moonlight-14B-A3B (#12886)
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2025-02-25 09:38:13 +08:00 |
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minicpmv.py
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also convert SdpaAttention in optimize_model (#12673)
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2025-01-08 16:48:03 +08:00 |
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mistral.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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mllama.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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mpt.py
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LLM: fix get env KV_CACHE_ALLOC_BLOCK_LENGTH type. (#10771)
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2024-04-16 09:32:30 +08:00 |
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phi.py
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refactor attention_softmax (#12295)
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2024-10-30 13:20:50 +08:00 |
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phi3.py
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refactor to simplify following upgrade 2 (#12685)
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2025-01-10 09:29:03 +08:00 |
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phixtral.py
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refactor to reduce old rope usage (#12219)
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2024-10-17 14:45:09 +08:00 |
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qwen.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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qwen2.py
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refactor to simplify following upgrade 2 (#12685)
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2025-01-10 09:29:03 +08:00 |
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qwen2_5_omni.py
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add audio optimization for qwen2.5-omni (#13037)
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2025-04-07 17:20:26 +08:00 |
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qwen2_moe.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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qwen2_vl.py
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fix qwen2 vl (#12798)
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2025-02-10 13:25:53 +08:00 |
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qwen_vl.py
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Fix several models based on sdp api change (#13075)
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2025-04-15 11:13:12 +08:00 |
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rwkv4.py
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Divide core-xe packages (#11131)
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2024-05-28 12:00:18 +08:00 |
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rwkv5.py
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Divide core-xe packages (#11131)
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2024-05-28 12:00:18 +08:00 |
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sd.py
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refactor device check and remove cohere/mixtral support (#12659)
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2025-01-07 11:15:51 +08:00 |
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stablelm.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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starcoder2.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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utils.py
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Deepseek kv / sdp support (#13068)
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2025-04-11 11:26:15 +08:00 |
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whisper.py
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add support and optimization for minicpmo audio part (#12716)
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2025-01-16 16:39:00 +08:00 |
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yuan.py
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update quantize kv cache condition (#12681)
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2025-01-09 15:23:04 +08:00 |
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