commit 1c5dc90d2f28eccbcd25ced767470c29cc3d667d Author: ModelHub XC Date: Mon Jul 13 22:22:11 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: liuda1/Mistral-7B-v0.2 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..3fd2827 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,37 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx 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b/README.md new file mode 100644 index 0000000..e236c47 --- /dev/null +++ b/README.md @@ -0,0 +1,17 @@ +--- +license: apache-2.0 +--- +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very gooo +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very goodd +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +---This model is the one we trained with SFT based on the missing base, and the inference effect is very good +license: apache-2.0 +--- \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..b0ed169 --- /dev/null +++ b/config.json @@ -0,0 +1,24 @@ +{ + "architectures": [ + "MistralForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 32768, + "model_type": "mistral", + "num_attention_heads": 32, + "num_hidden_layers": 32, + 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