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README.md

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+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- Mistral
+- instruct
+- finetune
+- synthetic
+- mlx
+base_model: mistralai/Mistral-7B-v0.1
+---
+
+# mitkox/Genstruct-7B-mlx
+This model was converted to MLX format from [`NousResearch/Genstruct-7B`]().
+Refer to the [original model card](https://huggingface.co/NousResearch/Genstruct-7B) for more details on the model.
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mitkox/Genstruct-7B-mlx")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

added_tokens.json

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+{
+  "[PAD]": 32000
+}

config.json

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+    "intermediate_size": 14336,
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+    "num_key_value_heads": 8,
+    "hidden_act": "silu",
+    "initializer_range": 0.02,
+    "rms_norm_eps": 1e-05,
+    "use_cache": false,
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+    "attention_dropout": 0.0,
+    "return_dict": true,
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+    "output_attentions": false,
+    "torchscript": false,
+    "torch_dtype": "bfloat16",
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+    "tf_legacy_loss": false,
+    "pruned_heads": {},
+    "tie_word_embeddings": false,
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+    "begin_suppress_tokens": null,
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "finetuning_task": null,
+    "id2label": {
+        "0": "LABEL_0",
+        "1": "LABEL_1"
+    },
+    "label2id": {
+        "LABEL_0": 0,
+        "LABEL_1": 1
+    },
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+    "prefix": null,
+    "bos_token_id": 1,
+    "pad_token_id": null,
+    "eos_token_id": 2,
+    "sep_token_id": null,
+    "decoder_start_token_id": null,
+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "/Users/mitko/.cache/huggingface/hub/models--NousResearch--Genstruct-7B/snapshots/532dc4500e621ee725672a92a78c18a9a319179c",
+    "transformers_version": "4.38.1",
+    "model_type": "mistral",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    }
+}

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