[WIP] Upload folder using huggingface_hub (multi-commit 7edb58765ec9a81d35ffd3fe5db0dccdd7d3a464beb5d39ae829d124dff25834)

.gitattributes

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README.md

@@ -1,41 +0,0 @@
----
-license: gemma
-library_name: transformers
-pipeline_tag: text-generation
-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
-base_model: google/gemma-2-9b
-tags:
-- mlx
----
-
-# testmoto/gemma-2-9b-synthetic_coding
-
-The Model [testmoto/gemma-2-9b-synthetic_coding](https://huggingface.co/testmoto/gemma-2-9b-synthetic_coding) was
-converted to MLX format from [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b)
-using mlx-lm version **0.20.1**.
-
-## Use with mlx
-
-```bash
-pip install mlx-lm
-```
-
-```python
-from mlx_lm import load, generate
-
-model, tokenizer = load("testmoto/gemma-2-9b-synthetic_coding")
-
-prompt="hello"
-
-if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
-    messages = [{"role": "user", "content": prompt}]
-    prompt = tokenizer.apply_chat_template(
-        messages, tokenize=False, add_generation_prompt=True
-    )
-
-response = generate(model, tokenizer, prompt=prompt, verbose=True)
-```

config.json

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-{
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-    "eos_token_id": 1,
-    "final_logit_softcapping": 30.0,
-    "head_dim": 256,
-    "hidden_act": "gelu_pytorch_tanh",
-    "hidden_activation": "gelu_pytorch_tanh",
-    "hidden_size": 3584,
-    "initializer_range": 0.02,
-    "intermediate_size": 14336,
-    "max_position_embeddings": 8192,
-    "model_type": "gemma2",
-    "num_attention_heads": 16,
-    "num_hidden_layers": 42,
-    "num_key_value_heads": 8,
-    "pad_token_id": 0,
-    "query_pre_attn_scalar": 256,
-    "rms_norm_eps": 1e-06,
-    "rope_theta": 10000.0,
-    "sliding_window": 4096,
-    "sliding_window_size": 4096,
-    "torch_dtype": "float32",
-    "transformers_version": "4.42.0.dev0",
-    "use_cache": true,
-    "vocab_size": 256000
-}

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-    "<start_of_turn>",
-    "<end_of_turn>"
-  ],
-  "bos_token": "<bos>",
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "<eos>",
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "<pad>",
-  "sp_model_kwargs": {},
-  "spaces_between_special_tokens": false,
-  "tokenizer_class": "GemmaTokenizer",
-  "unk_token": "<unk>",
-  "use_default_system_prompt": false
-}