初始化项目，由ModelHub XC社区提供模型

Model: abacusai/Fewshot-Metamath-OrcaVicuna-Mistral
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+datasets:
+- abacusai/MetaMathFewshot
+- shahules786/orca-chat
+- anon8231489123/ShareGPT_Vicuna_unfiltered
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/pf4d6FA7DriRtVq5HCkxd.png)
+
+This model was trained on our [MetamathFewshot](https://huggingface.co/datasets/abacusai/MetaMathFewshot) dataset, as well as the [Vicuna](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) dataset and the [OrcaChat](https://huggingface.co/datasets/shahules786/orca-chat) dataset.
+
+It has been finetuned from base [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+
+# Usage
+
+This model uses a specific prompt format which is encoded as a [chat template](https://huggingface.co/docs/transformers/main/en/chat_templating). To apply this, you can use the tokenizer.apply_chat_template() method of the attached tokenizer:
+
+```python
+messages = [
+    {"role": "user", "content": "What is the capital of Spain?"},
+    {"role": "assistant", "content": "The capital of Spain is Madrid."}
+]
+gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
+model.generate(**gen_input)
+```
+
+# Evaluation Results
+
+### HuggingFace Leaderboard
+
+| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
+| --- | --- | --- | --- | --- | --- | --- |
+| 67.33    | 59.64 | 81.82 | 61.69 | 53.23 | 78.45 | 69.14 |
+
+For comparison the GSM8K score for the original `metamath/MetaMath-Mistral-7B` was 68.84 and average score was 65.78.
+
+### MT-Bench
+
+| Turn 1 | Turn 2 | Average |
+| ---    |   ---  |   ---   |
+| 6.90    | 6.52   |   6.71  |
+
+# Training Details
+
+Instruction tuned with the following parameters:
+
+- LORA, Rank 8, Alpha 16, Dropout 0.05, all modules (QKV and MLP)
+- 3 epochs
+- Micro Batch Size 32 over 4xH100, gradient accumulation steps = 1
+- AdamW with learning rate 5e-5
+
+# Bias, Risks, and Limitations
+
+The model has not been evaluated for safety and is only intended for research and experiments.

config.json

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+{
+  "_name_or_path": "/abacus/models/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "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,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

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special_tokens_map.json

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+{
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+    "normalized": true,
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tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cdce92069938e6540fec77069211fa6ec7ea3ab5eb123c3aadad50a6f0c1e496
+size 1795300

tokenizer_config.json

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