checklist.chk

5d0c201df44b8bf3e7f7db5485177ea89327f1b591dedccc79858bde12ebef16 *./config.json
7694a0e7b59d7ec2eeebc2fd058f02fe4dc4464b27f82839fc9f425a88555a3a *./configuration_openpangu_dense.py
b3e73a9c629047cb71564ee4d8035595d7e1ec072f915dcbc39670c9e9730237 *./generation_config.json
58f15aa7474fcb08d59156d6ecf28df23f187cc84a912a66b2f1d06053dcc988 *./inference/generate.py
ba6d7edcf1cf464d6fd787b12a9bda2a16fea0ac0d5d1e54136baec503d6e696 *./inference/vllm_ascend/attention/attention.py
2254aeca0be7b8922318e10c4a950f39afb30ba5fe3b46564a58671b237ac612 *./inference/vllm_ascend/attention/mla_v1.py
f9577c29bc4dc19a4cc41ccfcca17065402c9dd92221bef987c74808b23ed124 *./inference/vllm_ascend/entrypoints/openai/reasoning_parsers/pangu_reasoning_parser.py
9070682b058a79d2b2874ba5e07ce72beff6efb870f75cdac30cdcf6ba8fadc7 *./inference/vllm_ascend/entrypoints/openai/reasoning_parsers/__init__.py
91eab52cdc19603b7b705b302e25345d849e18fa66875261a1135d5382392123 *./inference/vllm_ascend/entrypoints/openai/tool_parsers/pangu_tool_parser.py
d07256c9014f911f81269e65aad6c0d7dd61d4e82f5cb399e05285d5c1bc8fa8 *./inference/vllm_ascend/entrypoints/openai/tool_parsers/__init__.py
52a968f10ebaebeb626248afd3e1d1b92f8fbfcaad19ebf05cafbc0bd03192cb *./inference/vllm_ascend/envs.py
7ef05b9f9bbf21f5fee7e9bb4651585af4c723824b59c80b770bc861d460964c *./inference/vllm_ascend/models/open_pangu.py
e98aa2549f02017a35b07499216fe569e86400684087821820cf2d971c8fcbac *./inference/vllm_ascend/models/__init__.py
09273eb0e4696d2fb530881ba1ad9d331897dd81c0cd2f203ed3d0a475b4d39b *./inference/vllm_ascend/ops/fused_moe.py
8436ab93933989431160e55627b5dce5326f0fc5ec18263653902764ac8ace7b *./inference/vllm_ascend/patch/worker/patch_common/patch_config.py
8c59df8086bde0cd4df674403f83000921a34403651a8ff2b31de9b28768247a *./inference/vllm_ascend/patch/worker/patch_common/patch_parsers.py
e712ea36caf16c2a9dd21c5288f9d8e34c7fd2face444da44dca6db6c21f6c1b *./inference/vllm_ascend/patch/worker/patch_common/patch_sampler.py
63a6ba0d0b0158d4586219c979bf96d5fe87b74123af93f1c8d9ed842db96500 *./inference/vllm_ascend/patch/worker/patch_common/__init__.py
743bd96cfc109975a11fe5412c4b5de46f880501dcbbbdd10e11cbeb865fa4f2 *./inference/vllm_ascend/quantization/w8a8.py
6adfaa8a67ea9b561dec2e6a2392f6fc85ff376fb2030d8761c34c6c6d3f4cbf *./inference/vllm_ascend/quantization/w8a8_dynamic.py
e2457c558f048876afe069d1226e7080ac214478f1a9ac28ae472928b81b5a06 *./inference/vllm_ascend/utils.py
62c6734d1283e3d649a6478d2004f46bfee2f7878af7f2849c979b124e355302 *./inference/vllm_ascend/worker/model_runner_v1.py
bc6505adabc0498ad07b49187858788c65c13dbf9446fd0bcf177a3e1b27220d *./inference/vllm_ascend/worker/npu_input_batch.py
4aaf57e6f6d2e139b3847b10ee59d738398ebfc4927a22325b27dad384874aec *./inference/vllm_ascend/_build_info.py
65e70c8ed758083a0735a5e1c8d82be3ebcaa71436fc9d02ea5593640e68896c *./model.safetensors
f15eaf322af8a0b0f16b26795eb68af836179413d3dbfa4dc44505db6c8b0d6f *./modeling_openpangu_dense.py
c1f2d87f855b994039c52b1e83c8a7f3d71a2d1eb52946c4a2e862e99f19d8b3 *./modular_openpangu_dense.py
b34cf5e7c7660889303b6e2d0a346c440356385c9db551d06f6615cf9fc600d1 *./special_tokens_map.json
c98602d6d1f61792a8bd3393972bbbe7409a205c0bb6299394c74287c26bd723 *./tokenization_openpangu.py
6b16f1558c0cd4ae6ef1a2c605713be0a514f50e1ce2d2c878979ce988c148ec *./tokenizer.model
acb88eac57f8765fedf34e9c10bc16d55c46f0902b0fea74fbf041daca2667ae *./tokenizer_config.json