Downloads · 30 days
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second-state/gemma-1.1-2b-it-GGUF
gemma-1.1-2b-it-GGUF is a machine learning model from second-state. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gemma.
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Downloads · 30 days
401
6% of all-time downloads
All-time downloads
7.1K
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.gguf25.2 GB · 100%
From the Hugging Face model README
LlamaEdge version: v0.8.1 and above
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
Context size: 2048
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-1.1-2b-it-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template gemma-instruct \
--ctx-size 2048 \
--model-name gemma-1.1-2b
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| gemma-1.1-2b-it-Q2_K.gguf | Q2_K | 2 | 1.16 GB | smallest, significant quality loss - not recommended for most purposes |
| gemma-1.1-2b-it-Q3_K_L.gguf | Q3_K_L | 3 | 1.47 GB | small, substantial quality loss |
| gemma-1.1-2b-it-Q3_K_M.gguf | Q3_K_M | 3 | 1.38 GB | very small, high quality loss |
| gemma-1.1-2b-it-Q3_K_S.gguf | Q3_K_S | 3 | 1.29 GB | very small, high quality loss |
| gemma-1.1-2b-it-Q4_0.gguf | Q4_0 | 4 | 1.55 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| gemma-1.1-2b-it-Q4_K_M.gguf | Q4_K_M | 4 | 1.63 GB | medium, balanced quality - recommended |
| gemma-1.1-2b-it-Q4_K_S.gguf | Q4_K_S | 4 | 1.56 GB | small, greater quality loss |
| gemma-1.1-2b-it-Q5_0.gguf | Q5_0 | 5 | 1.8 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| gemma-1.1-2b-it-Q5_K_M.gguf | Q5_K_M | 5 | 1.84 GB | large, very low quality loss - recommended |
| gemma-1.1-2b-it-Q5_K_S.gguf | Q5_K_S | 5 | 1.8 GB | large, low quality loss - recommended |
| gemma-1.1-2b-it-Q6_K.gguf | Q6_K | 6 | 2.06 GB | very large, extremely low quality loss |
| gemma-1.1-2b-it-Q8_0.gguf | Q8_0 | 8 | 2.67 GB | very large, extremely low quality loss - not recommended |
| gemma-1.1-2b-it-f16.gguf | f16 | 16 | 5.02 GB |
Quantized with llama.cpp b2589