Duplicate from mlx-community/deepseek-coder-33b-instruct-hf-4bit-mlx

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README.md

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+---
+license: other
+tags:
+- mlx
+license_name: deepseek
+license_link: LICENSE
+---
+
+# deepseek-coder-33b-instruct-hf-4bit-mlx
+This model was converted to MLX format from [`deepseek-ai/deepseek-coder-33b-instruct`](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct).
+Refer to the [original model card](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct) for more details on the model.
+## Use with mlx
+```bash
+pip install mlx
+git clone https://github.com/ml-explore/mlx-examples.git
+cd mlx-examples/llms/hf_llm
+python generate.py --model mlx-community/deepseek-coder-6.7b-instruct-hf-4bit-mlx --prompt "### Instruction: \nwrite a quick sort algorithm in python.\n### Response: \n"
+```

added_tokens.json

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+}

config.json

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+    "max_position_embeddings": 16384,
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+    "intermediate_size": 19200,
+    "num_hidden_layers": 62,
+    "num_attention_heads": 56,
+    "num_key_value_heads": 8,
+    "hidden_act": "silu",
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+    "rms_norm_eps": 1e-06,
+    "pretraining_tp": 1,
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+        "type": "linear"
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+    "attention_bias": false,
+    "attention_dropout": 0.0,
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+    "output_attentions": false,
+    "torchscript": false,
+    "torch_dtype": "bfloat16",
+    "use_bfloat16": false,
+    "tf_legacy_loss": false,
+    "pruned_heads": {},
+    "tie_word_embeddings": false,
+    "is_encoder_decoder": false,
+    "is_decoder": false,
+    "cross_attention_hidden_size": null,
+    "add_cross_attention": false,
+    "tie_encoder_decoder": false,
+    "max_length": 20,
+    "min_length": 0,
+    "do_sample": false,
+    "early_stopping": false,
+    "num_beams": 1,
+    "num_beam_groups": 1,
+    "diversity_penalty": 0.0,
+    "temperature": 1.0,
+    "top_k": 50,
+    "top_p": 1.0,
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+    "architectures": [
+        "LlamaForCausalLM"
+    ],
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+        "1": "LABEL_1"
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+    "sep_token_id": null,
+    "decoder_start_token_id": null,
+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "deepseek-ai/deepseek-coder-33b-instruct",
+    "transformers_version": "4.36.2",
+    "model_type": "llama",
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    }
+}

special_tokens_map.json

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