d56d6b78fbcfbe78f8b11b5b992280ee3cc73211ee9587788ced0cedf9f2e228

README.md

@@ -0,0 +1,273 @@
+---
+base_model: Ministral-8B-Instruct-2410-HF
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- zh
+- ja
+- ru
+- ko
+library_name: vllm
+license: other
+license_name: mrl
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+tags:
+- mlx
+inference: false
+extra_gated_prompt: '# Mistral AI Research License
+
+  If You want to use a Mistral Model, a Derivative or an Output for any purpose that
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+  To discuss such a license, please contact Mistral AI via the website contact form:
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+
+  ## 1. Scope and acceptance
+
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+extra_gated_button_content: Submit
+---
+
+# mlx-community/Ministral-8B-Instruct-2410-bf16
+
+The Model [mlx-community/Ministral-8B-Instruct-2410-bf16](https://huggingface.co/mlx-community/Ministral-8B-Instruct-2410-bf16) was converted to MLX format from [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) 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/Ministral-8B-Instruct-2410-bf16")
+
+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": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 12288,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 36,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 100000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float32",
+    "transformers_version": "4.44.0",
+    "use_cache": true,
+    "vocab_size": 131072
+}

model.safetensors.index.json

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