Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,42 @@
----
-license: gemma
----
+---
+library_name: transformers
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+tags:
+- mlx
+- mlx
+widget:
+- text: '<start_of_turn>user
+
+    How does the brain work?<end_of_turn>
+
+    <start_of_turn>model
+
+    '
+inference:
+  parameters:
+    max_new_tokens: 200
+extra_gated_heading: Access Gemma on Hugging Face
+extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
+  agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
+  Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+---
+
+# david4096/gemma-2b-finetune-graph-genome
+
+The Model [david4096/gemma-2b-finetune-graph-genome](https://huggingface.co/david4096/gemma-2b-finetune-graph-genome) was converted to MLX format from [mlx-community/quantized-gemma-2b-it](https://huggingface.co/mlx-community/quantized-gemma-2b-it) 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("david4096/gemma-2b-finetune-graph-genome")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
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+        "GemmaForCausalLM"
+    ],
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+    "head_dim": 256,
+    "hidden_act": "gelu",
+    "hidden_size": 2048,
+    "id2label": {
+        "0": "LABEL_0",
+        "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+    },
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+    "max_position_embeddings": 8192,
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+    "model_type": "gemma",
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+    "num_attention_heads": 8,
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+    "num_beams": 1,
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+    "num_key_value_heads": 1,
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+    "output_scores": false,
+    "pad_token_id": 0,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "rms_norm_eps": 1e-06,
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+    "rope_theta": 10000.0,
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+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "bfloat16",
+    "torchscript": false,
+    "transformers_version": "4.38.0",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 256000
+}

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+}

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+  "use_default_system_prompt": false
+}