8e2e711e84df7bc7785c27e420fcdb2414195acc0dd683a3cae244279cdc4a6c

README.md

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+---
+base_model: mistralai/Mistral-7B-v0.1
+datasets:
+- Open-Orca/OpenOrca
+- pubmed
+- medmcqa
+- maximegmd/medqa_alpaca_format
+language:
+- en
+license: apache-2.0
+metrics:
+- accuracy
+tags:
+- medical
+- mlx
+tag: text-generation
+---
+
+# cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5
+
+The Model [cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5](https://huggingface.co/cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5) was converted to MLX format from [internistai/base-7b-v0.2](https://huggingface.co/internistai/base-7b-v0.2) using mlx-lm version **0.16.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("cogbuji/MrGrammaticaOntology-internistai-SCT-DRIFT-clinical-problem-0.6.5")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "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": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.40.0.dev0",
+    "use_cache": false,
+    "vocab_size": 32000
+}

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special_tokens_map.json

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+}

tokenizer.model

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+size 493443

tokenizer_config.json

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