1181911199de391dcefdc1de0f6a25f419946678773024b953f0480a83b69f20

README.md

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+---
+base_model: weblab-GENIAC/Tanuki-8B-dpo-v1.0
+language:
+- ja
+- en
+library_name: transformers
+license: apache-2.0
+tags:
+- japanese
+- mlx
+---
+
+# mlx-community/Tanuki-8B-dpo-v1.0-4bit
+
+The Model [mlx-community/Tanuki-8B-dpo-v1.0-4bit](https://huggingface.co/mlx-community/Tanuki-8B-dpo-v1.0-4bit) was converted to MLX format from [weblab-GENIAC/Tanuki-8B-dpo-v1.0](https://huggingface.co/weblab-GENIAC/Tanuki-8B-dpo-v1.0) using mlx-lm version **0.19.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Tanuki-8B-dpo-v1.0-4bit")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, 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": 1,
+    "eos_token_id": 2,
+    "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,
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "quantization_config": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 500000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.3",
+    "use_cache": true,
+    "vocab_size": 65024
+}

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special_tokens_map.json

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+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+    "single_word": false
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+    "single_word": false
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+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+      "single_word": false,
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+    },
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+      "single_word": false,
+      "special": true
+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
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+      "single_word": false,
+      "special": true
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+      "normalized": false,
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+      "single_word": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "10": {
+      "content": "</llm-code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "12": {
+      "content": "</llm-code-output>",
+      "lstrip": false,
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+      "single_word": false,
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+      "single_word": false,
+      "special": true
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% set messages = messages[1:] %}{% else %}{% set system_message = '以下は、タスクを説明する指示です。要求を適切に満たす応答を書きなさい。' %}{% endif %}{{　bos_token }}{{　system_message　}}{% for message in messages %}{% if message['role'] == 'user' %}{{ '\n\n### 指示:\n' + message['content'] }}{% elif message['role'] == 'assistant' %}{{ '\n\n### 応答:\n' + message['content'] + eos_token }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '\n\n### 応答:\n' }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<CLS>",
+  "eos_token": "</s>",
+  "extra_ids": 0,
+  "legacy": false,
+  "mask_token": "<MASK>",
+  "max_length": 1000000000000000019884624838656,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "<SEP>",
+  "sp_model_kwargs": {},
+  "stride": 0,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}