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datagemma-rig-27b-it-GGUF
second-state/datagemma-rig-27b-it-GGUF
datagemma-rig-27b-it-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
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Repo size
261 GB
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Repo makeup
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.gguf261 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Sep 13, 2024
- Updated
- Sep 13, 2024
- SHA
- 29efeec0
Try a prompt
Base models
Model card
From the Hugging Face model README
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Datagemma-rig-27b-it-GGUF
Original Model
Run with LlamaEdge
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LlamaEdge version: v0.14.3 and above
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Prompt template
-
Prompt type:
gemma-instruct -
Prompt string
<bos><start_of_turn>user {user_message}<end_of_turn> <start_of_turn>model {model_message}<end_of_turn>model
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Context size:
8192 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:datagemma-rig-27b-it-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template gemma-instruct \ --ctx-size 8192 \ --model-name gemma-2-27b -
Run as LlamaEdge command app
wasmedge --dir .:. \ --nn-preload default:GGML:AUTO:datagemma-rig-27b-it-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template gemma-instruct \ --ctx-size 8192
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| datagemma-rig-27b-it-Q2_K.gguf | Q2_K | 2 | 10.4 GB | smallest, significant quality loss - not recommended for most purposes |
| datagemma-rig-27b-it-Q3_K_L.gguf | Q3_K_L | 3 | 14.5 GB | small, substantial quality loss |
| datagemma-rig-27b-it-Q3_K_M.gguf | Q3_K_M | 3 | 13.4 GB | very small, high quality loss |
| datagemma-rig-27b-it-Q3_K_S.gguf | Q3_K_S | 3 | 12.2 GB | very small, high quality loss |
| datagemma-rig-27b-it-Q4_0.gguf | Q4_0 | 4 | 15.6 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| datagemma-rig-27b-it-Q4_K_M.gguf | Q4_K_M | 4 | 16.6 GB | medium, balanced quality - recommended |
| datagemma-rig-27b-it-Q4_K_S.gguf | Q4_K_S | 4 | 15.7 GB | small, greater quality loss |
| datagemma-rig-27b-it-Q5_0.gguf | Q5_0 | 5 | 18.9 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| datagemma-rig-27b-it-Q5_K_M.gguf | Q5_K_M | 5 | 19.4 GB | large, very low quality loss - recommended |
| datagemma-rig-27b-it-Q5_K_S.gguf | Q5_K_S | 5 | 18.9 GB | large, low quality loss - recommended |
| datagemma-rig-27b-it-Q6_K.gguf | Q6_K | 6 | 22.3 GB | very large, extremely low quality loss |
| datagemma-rig-27b-it-Q8_0.gguf | Q8_0 | 8 | 28.9 GB | very large, extremely low quality loss - not recommended |
| datagemma-rig-27b-it-f16-00001-of-00002.gguf | f16 | 16 | 29.9 GB | |
| datagemma-rig-27b-it-f16-00002-of-00002.gguf | f16 | 16 | 24.6 GB |
Quantized with llama.cpp b3664
- Task
- Text Generation
- Library
- transformers
- Type
- gemma2
- License
- gemma
- Created
- Sep 13, 2024
- Updated
- Sep 13, 2024