初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5
Source: Original Platform

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README.md

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+---
+language:
+- en
+- ja
+library_name: mlx
+pipeline_tag: text-generation
+license:
+- llama3.3
+- gemma
+model_type: llama
+datasets:
+- tokyotech-llm/lmsys-chat-1m-synth
+- lmsys/lmsys-chat-1m
+base_model: tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.5
+tags:
+- mlx
+---
+
+# mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5
+
+This model [mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5](https://huggingface.co/mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5) was
+converted to MLX format from [tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.5](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.5)
+using mlx-lm version **0.25.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Llama-3.1-Swallow-8B-Instruct-v0.5")
+
+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)
+```

chat_template.jinja

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+{{- bos_token }}{#- This block extracts the system message, so we can slot it into the right place. #}{%- if messages[0]['role'] == 'system' %}{%- set system_message = messages[0]['content']|trim %}{%- set messages = messages[1:] %}{%- else %}{%- set system_message = 'あなたは誠実で優秀な日本人のアシスタントです。'|trim %}{%- endif %}{#- System message #}{{- '<|start_header_id|>system<|end_header_id|>
+
+' }}{{- system_message }}{{- '<|eot_id|>' }}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}{% endif %}

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 128000,
+    "eos_token_id": [
+        128001,
+        128008,
+        128009
+    ],
+    "head_dim": 128,
+    "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": "4.46.2",
+    "use_cache": false,
+    "vocab_size": 128256
+}

configuration.json

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

generation_config.json

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+  "do_sample": true,
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+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.2"
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