初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Pleias-RAG-1B-bf16
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+- en
+- fr
+- it
+- de
+- es
+base_model: PleIAs/Pleias-RAG-1B
+library_name: mlx
+pipeline_tag: text-generation
+tags:
+- mlx
+---
+
+# mlx-community/Pleias-RAG-1B-bf16
+
+This model [mlx-community/Pleias-RAG-1B-bf16](https://huggingface.co/mlx-community/Pleias-RAG-1B-bf16) was
+converted to MLX format from [PleIAs/Pleias-RAG-1B](https://huggingface.co/PleIAs/Pleias-RAG-1B)
+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/Pleias-RAG-1B-bf16")
+
+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"
+    ],
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+    "bos_token_id": 1,
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+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 6144,
+    "max_position_embeddings": 4096,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 22,
+    "num_key_value_heads": 8,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.44.2",
+    "use_cache": true,
+    "vocab_size": 65536
+}

configuration.json

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

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