初始化项目，由ModelHub XC社区提供模型

Model: Phani1479432/rocky-gemma-2b
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+rocky-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+rocky-f16.gguf filter=lfs diff=lfs merge=lfs -text
+rocky.task filter=lfs diff=lfs merge=lfs -text
+rocky.litertlm filter=lfs diff=lfs merge=lfs -text

Modelfile

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+FROM hf.co/Phani1479432/rocky-gemma-2b:rocky-q4_k_m.gguf
+
+# Custom template to match Gemma 2 formatting and Rocky training prefix
+TEMPLATE """{{- if .Prompt }}<start_of_turn>user
+Speak like Rocky.
+
+{{ .Prompt }}<end_of_turn>
+{{- end }}<start_of_turn>model
+{{ .Response }}<end_of_turn>
+"""
+
+# Set stop tokens
+PARAMETER stop "<start_of_turn>"
+PARAMETER stop "<end_of_turn>"

README.md

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+---
+license: gemma
+library_name: mlx
+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
+tags:
+- conversational
+- mlx
+- ollama
+base_model: google/gemma-2-2b-it
+---
+
+# Rocky Gemma 2B (It)
+
+Rocky Gemma 2B is a fine-tuned model based on `google/gemma-2-2b-it`, customized to speak and act like Rocky.
+
+## 🦙 Run with Ollama
+
+You can download and run this model instantly on your local Ollama instance with a single command:
+
+```bash
+curl -sSL https://huggingface.co/Phani1479432/rocky-gemma-2b/raw/main/Modelfile | ollama create rocky -f - && ollama run rocky
+```
+
+### What this command does:
+1. **Downloads the Modelfile**: Fetches the custom configuration specifying stop parameters and formatting templates directly from Hugging Face.
+2. **Creates the Model locally**: Registers a new local model named `rocky` in Ollama.
+3. **Downloads the GGUF Weights**: Automatically pulls the quantized GGUF weights (`rocky-q4_k_m.gguf`) directly from Hugging Face.
+4. **Starts the Chat**: Launches an interactive shell session for you to chat with Rocky.
+
+---
+
+## ⚡ Run with MLX
+
+If you are on Apple Silicon, you can use the MLX library to run the fused model weights:
+
+```bash
+pip install mlx-lm
+python -m mlx_lm.generate --model Phani1479432/rocky-gemma-2b --prompt "Hey Rocky, what's your training routine like?"
+```

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adapters/adapter_config.json

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+    "config": null,
+    "data": "./rocky_data",
+    "fine_tune_type": "lora",
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+    "iters": 600,
+    "learning_rate": 1e-05,
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chat_template.jinja

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+{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
+' + message['content'] | trim + '<end_of_turn>
+' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
+'}}{% endif %}

config.json

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+{
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+        "Gemma2ForCausalLM"
+    ],
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+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_activation": "gelu_pytorch_tanh",
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+    "max_position_embeddings": 8192,
+    "model_type": "gemma2",
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+    "num_hidden_layers": 26,
+    "num_key_value_heads": 4,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.42.4",
+    "use_cache": true,
+    "vocab_size": 256000
+}

generation_config.json

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