Llamacpp Quantizations of gemma-1.1-7b-it

Using llama.cpp release b2589 for quantization.

Original model: https://huggingface.co/google/gemma-1.1-7b-it

Download a file (not the whole branch) from below:

Filename Quant type File Size Description
gemma-1.1-7b-it-Q8_0.gguf Q8_0 9.07GB Extremely high quality, generally unneeded but max available quant.
gemma-1.1-7b-it-Q6_K.gguf Q6_K 7.01GB Very high quality, near perfect, recommended.
gemma-1.1-7b-it-Q5_K_M.gguf Q5_K_M 6.14GB High quality, very usable.
gemma-1.1-7b-it-Q5_K_S.gguf Q5_K_S 5.98GB High quality, very usable.
gemma-1.1-7b-it-Q5_0.gguf Q5_0 5.98GB High quality, older format, generally not recommended.
gemma-1.1-7b-it-Q4_K_M.gguf Q4_K_M 5.32GB Good quality, uses about 4.83 bits per weight.
gemma-1.1-7b-it-Q4_K_S.gguf Q4_K_S 5.04GB Slightly lower quality with small space savings.
gemma-1.1-7b-it-IQ4_NL.gguf IQ4_NL 5.04GB Decent quality, similar to Q4_K_S, new method of quanting,
gemma-1.1-7b-it-IQ4_XS.gguf IQ4_XS 4.80GB Decent quality, new method with similar performance to Q4.
gemma-1.1-7b-it-Q4_0.gguf Q4_0 5.01GB Decent quality, older format, generally not recommended.
gemma-1.1-7b-it-Q3_K_L.gguf Q3_K_L 4.70GB Lower quality but usable, good for low RAM availability.
gemma-1.1-7b-it-Q3_K_M.gguf Q3_K_M 4.36GB Even lower quality.
gemma-1.1-7b-it-IQ3_M.gguf IQ3_M 4.10GB Medium-low quality, new method with decent performance.
gemma-1.1-7b-it-IQ3_S.gguf IQ3_S 3.98GB Lower quality, new method with decent performance, recommended over Q3 quants.
gemma-1.1-7b-it-Q3_K_S.gguf Q3_K_S 3.98GB Low quality, not recommended.
gemma-1.1-7b-it-Q2_K.gguf Q2_K 3.48GB Extremely low quality, not recommended.

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

Downloads last month
375
GGUF
Model size
8.54B params
Architecture
gemma

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.