初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Hermes-3-Llama-3.1-8B-MLX
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: llama3
+tags:
+- Llama-3
+- instruct
+- finetune
+- chatml
+- gpt4
+- synthetic data
+- distillation
+- function calling
+- json mode
+- axolotl
+- roleplaying
+- chat
+- mlx
+base_model: NousResearch/Hermes-3-Llama-3.1-8B
+widget:
+- example_title: Hermes 3
+  messages:
+  - role: system
+    content: You are a sentient, superintelligent artificial general intelligence,
+      here to teach and assist me.
+  - role: user
+    content: What is the meaning of life?
+library_name: mlx
+pipeline_tag: text-generation
+model-index:
+- name: Hermes-3-Llama-3.1-70B
+  results: []
+---
+
+# mlx-community/Hermes-3-Llama-3.1-8B-MLX
+
+This model [mlx-community/Hermes-3-Llama-3.1-8B-MLX](https://huggingface.co/mlx-community/Hermes-3-Llama-3.1-8B-MLX) was
+converted to MLX format from [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)
+using mlx-lm version **0.23.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Hermes-3-Llama-3.1-8B-MLX")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 128000,
+    "eos_token_id": 128040,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 131072,
+    "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": {
+        "factor": 8.0,
+        "high_freq_factor": 4.0,
+        "low_freq_factor": 1.0,
+        "original_max_position_embeddings": 8192,
+        "rope_type": "llama3"
+    },
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.44.0.dev0",
+    "use_cache": true,
+    "vocab_size": 128256
+}

configuration.json

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

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