commit 7ea4021de2d96ccd082b11d26e7267245a98e9a0 Author: ModelHub XC Date: Wed May 27 00:48:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: second-state/Gemma-7b-it-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..f15b49c --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.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 +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz 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 +*.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..8f6ccbc --- /dev/null +++ b/README.md @@ -0,0 +1,75 @@ +--- +base_model: google/gemma-7b-it +inference: false +library_name: transformers +license: other +license_name: gemma-terms-of-use +license_link: https://ai.google.dev/gemma/terms +model_creator: Google +model_name: gemma 7b it +quantized_by: Second State Inc. +--- + + + +
+ +
+
+ + +# Gemma-7b-it + +## Original Model + +[google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) + +## Run with LlamaEdge + +- LlamaEdge version: [v0.3.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.3.2) + +- Prompt template + + - Prompt type: `gemma-instruct` + + - Prompt string + + ```text + user + {user_message} + model + {model_message}model + ``` + +- Context size: `3072` + +- Run as LlamaEdge service + + ```bash + wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-7b-it-Q5_K_M.gguf llama-api-server.wasm -p gemma-instruct -c 4096 + ``` + +- Run as LlamaEdge command app + + ```bash + wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-7b-it-Q5_K_M.gguf llama-chat.wasm -p gemma-instruct -c 4096 + ``` + +## Quantized GGUF Models + +| Name | Quant method | Bits | Size | Use case | +| ---- | ---- | ---- | ---- | ----- | +| [gemma-7b-it-Q2_K.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q2_K.gguf) | Q2_K | 2 | 3.09 GB| smallest, significant quality loss - not recommended for most purposes | +| [gemma-7b-it-Q3_K_L.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 4.4 GB| small, substantial quality loss | +| [gemma-7b-it-Q3_K_M.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 4.06 GB| very small, high quality loss | +| [gemma-7b-it-Q3_K_S.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 3.68 GB| very small, high quality loss | +| [gemma-7b-it-Q4_0.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q4_0.gguf) | Q4_0 | 4 | 4.81 GB| legacy; small, very high quality loss - prefer using Q3_K_M | +| [gemma-7b-it-Q4_K_M.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 5.13 GB| medium, balanced quality - recommended | +| [gemma-7b-it-Q4_K_S.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 4.84 GB| small, greater quality loss | +| [gemma-7b-it-Q5_0.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q5_0.gguf) | Q5_0 | 5 | 5.88 GB| legacy; medium, balanced quality - prefer using Q4_K_M | +| [gemma-7b-it-Q5_K_M.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 6.04 GB| large, very low quality loss - recommended | +| [gemma-7b-it-Q5_K_S.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 5.88 GB| large, low quality loss - recommended | +| [gemma-7b-it-Q6_K.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q6_K.gguf) | Q6_K | 6 | 7.01 GB| very large, extremely low quality loss | +| [gemma-7b-it-Q8_0.gguf](https://huggingface.co/second-state/Gemma-7b-it-GGUF/blob/main/gemma-7b-it-Q8_0.gguf) | Q8_0 | 8 | 9.08 GB| very large, extremely low quality loss - not recommended | + +*Quantized with llama.cpp b2230* diff --git a/config.json b/config.json new file mode 100644 index 0000000..90a8221 --- /dev/null +++ b/config.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "/raid/younes/gg-converted-ckpt/gemma-7b-it", + "architectures": [ + "GemmaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 2, + "eos_token_id": 1, + "head_dim": 256, + "hidden_act": "gelu", + "hidden_size": 3072, + "initializer_range": 0.02, + "intermediate_size": 24576, + "max_position_embeddings": 8192, + "model_type": "gemma", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 16, + "pad_token_id": 0, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 10000.0, + "torch_dtype": "bfloat16", + "transformers_version": 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