gemma-1.1-7b-it-GGUF

second-state/gemma-1.1-7b-it-GGUF

gemma-1.1-7b-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.

<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div <hr…

Downloads · 30 days

454

4% of all-time downloads

All-time downloads

11.5K

Public

Repo size

183 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf83.2 GB · 100%

At a glance

Library: transformers
License: gemma
Access: Public
Created: Apr 10, 2024
Updated: Apr 20, 2024
SHA: fa8a7ef1

Base models

google/gemma-1.1-7b-it

Model card

From the Hugging Face model README

<div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">

Gemma-1.1-7b-it-GGUF

Original Model

google/gemma-1.1-7b-it

Run with LlamaEdge

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: 3072

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-1.1-7b-it-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template gemma-instruct \
  --ctx-size 3072 \
  --model-name gemma-1.1-7b

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-1.1-7b-it-Q5_K_M.gguf llama-chat.wasm -p gemma-instruct -c 3072

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
gemma-1.1-7b-it-Q2_K.gguf	Q2_K	2	3.48 GB	smallest, significant quality loss - not recommended for most purposes
gemma-1.1-7b-it-Q3_K_L.gguf	Q3_K_L	3	4.71 GB	small, substantial quality loss
gemma-1.1-7b-it-Q3_K_M.gguf	Q3_K_M	3	4.37 GB	very small, high quality loss
gemma-1.1-7b-it-Q3_K_S.gguf	Q3_K_S	3	3.98 GB	very small, high quality loss
gemma-1.1-7b-it-Q4_0.gguf	Q4_0	4	5.01 GB	legacy; small, very high quality loss - prefer using Q3_K_M
gemma-1.1-7b-it-Q4_K_M.gguf	Q4_K_M	4	5.33 GB	medium, balanced quality - recommended
gemma-1.1-7b-it-Q4_K_S.gguf	Q4_K_S	4	5.05 GB	small, greater quality loss
gemma-1.1-7b-it-Q5_0.gguf	Q5_0	5	5.98 GB	legacy; medium, balanced quality - prefer using Q4_K_M
gemma-1.1-7b-it-Q5_K_M.gguf	Q5_K_M	5	6.14 GB	large, very low quality loss - recommended
gemma-1.1-7b-it-Q5_K_S.gguf	Q5_K_S	5	5.98 GB	large, low quality loss - recommended
gemma-1.1-7b-it-Q6_K.gguf	Q6_K	6	7.01 GB	very large, extremely low quality loss
gemma-1.1-7b-it-Q8_0.gguf	Q8_0	8	9.08 GB	very large, extremely low quality loss - not recommended
gemma-1.1-7b-it-f16.gguf	f16	16	17.1 GB

Quantized with llama.cpp b2589

Library: transformers
License: gemma
Created: Apr 10, 2024
Updated: Apr 20, 2024