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.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 +1,28 @@
 ---
-license: apache-2.0
+language:
+- ja
+- en
+license: other
+library_name: transformers
+tags:
+- mlx
+license_name: gemma-terms-of-use
+license_link: https://www.kaggle.com/models/google/gemma/license/consent
+inference: false
 ---
+
+# nishide-dev/suzume-poc-mlx-4bit
+This model was converted to MLX format from [`alfredplpl/suzume-poc`]() using mlx-lm version **0.7.0**.
+Refer to the [original model card](https://huggingface.co/alfredplpl/suzume-poc) for more details on the model.
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("nishide-dev/suzume-poc-mlx-4bit")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
+    "add_cross_attention": false,
+    "architectures": [
+        "GemmaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bad_words_ids": null,
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+    "diversity_penalty": 0.0,
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+    "forced_eos_token_id": null,
+    "head_dim": 256,
+    "hidden_act": "gelu",
+    "hidden_activation": null,
+    "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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+        "LABEL_1": 1
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+    "model_type": "gemma",
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+    "num_beam_groups": 1,
+    "num_beams": 1,
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+    "num_key_value_heads": 1,
+    "num_return_sequences": 1,
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+    "output_scores": false,
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+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "sep_token_id": null,
+    "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": "4.39.3",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": false,
+    "vocab_size": 256000
+}

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