初始化项目，由ModelHub XC社区提供模型

Model: Enno-Ai/EnnoAi-Pro-Llama-3-8B
Source: Original Platform

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README.md

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+---
+language:
+- fr
+- en
+license: creativeml-openrail-m
+tags:
+- chatml
+model-index:
+- name: EnnoAi-Pro-Llama-3-8B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 31.95
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 17.51
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 0.15
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 1.57
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 9.08
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 12.79
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Enno-Ai/EnnoAi-Pro-Llama-3-8B
+      name: Open LLM Leaderboard
+---
+# French Pro model
+This version aims to be a multilingual model (EN 🇺🇸 + FR 🇫🇷) to refine the specific professional tasks in French.
+
+# Dataset
+EnnoAi-Pro has been trained on a French dataset to enhance its analysis and response quality.
+The dataset contains ~275K high-quality training samples of professional and general strategic themes.
+
+# Tuning
+We use specific recipes with QLora methods to increase accuracy in advanced RAG contexts.
+
+# Prompt Format
+We use the default ChatML format with `system` role support.
+
+```
+<|begin_of_text|><|im_start|>system
+{SYSTEM_CONTEXT}<|im_end|>
+<|im_start|>user
+{USER_ENTRY}<|im_end|>
+<|im_start|>assistant
+{ASSISTANT_ENTRY}<|im_end|>
+```
+
+**This model is under construction**
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Enno-Ai__EnnoAi-Pro-Llama-3-8B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |12.17|
+|IFEval (0-Shot)    |31.95|
+|BBH (3-Shot)       |17.51|
+|MATH Lvl 5 (4-Shot)| 0.15|
+|GPQA (0-shot)      | 1.57|
+|MuSR (0-shot)      | 9.08|
+|MMLU-PRO (5-shot)  |12.79|
+

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
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+  "eos_token_id": 128003,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "unsloth_version": "2024.7",
+  "use_cache": false,
+  "vocab_size": 128288
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128003,
+  "transformers_version": "4.42.3"
+}

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