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Model: second-state/gemma-2-9b-it-GGUF
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---
base_model: google/gemma-2-9b-it
inference: false
license: gemma
library_name: transformers
pipeline_tag: text-generation
model_creator: Google
model_name: gemma-2-9b-it
quantized_by: Second State Inc.
tags:
- conversational
---
<!-- header start -->
<!-- 200823 -->
<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;">
<!-- header end -->
# Gemma-2-9b-it-GGUF
## Original Model
[google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it)
## Run with LlamaEdge
- LlamaEdge version: [v0.12.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.1) and above
- Prompt template
- Prompt type: `gemma-instruct`
- Prompt string
```text
<bos><start_of_turn>user
{user_message}<end_of_turn>
<start_of_turn>model
{model_message}<end_of_turn>model
```
- Context size: `8192`
- Run as LlamaEdge service
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:gemma-2-9b-it-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template gemma-instruct \
--ctx-size 8192 \
--model-name gemma-2-9b
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. \
--nn-preload default:GGML:AUTO:gemma-2-9b-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 |
| ---- | ---- | ---- | ---- | ----- |
| [gemma-2-9b-it-Q2_K.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q2_K.gguf) | Q2_K | 2 | 3.81 GB| smallest, significant quality loss - not recommended for most purposes |
| [gemma-2-9b-it-Q3_K_L.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q3_K_L.gguf) | Q3_K_L | 3 | 5.13 GB| small, substantial quality loss |
| [gemma-2-9b-it-Q3_K_M.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q3_K_M.gguf) | Q3_K_M | 3 | 4.76 GB| very small, high quality loss |
| [gemma-2-9b-it-Q3_K_S.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q3_K_S.gguf) | Q3_K_S | 3 | 4.34 GB| very small, high quality loss |
| [gemma-2-9b-it-Q4_0.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q4_0.gguf) | Q4_0 | 4 | 5.44 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [gemma-2-9b-it-Q4_K_M.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q4_K_M.gguf) | Q4_K_M | 4 | 5.76 GB| medium, balanced quality - recommended |
| [gemma-2-9b-it-Q4_K_S.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q4_K_S.gguf) | Q4_K_S | 4 | 5.48 GB| small, greater quality loss |
| [gemma-2-9b-it-Q5_0.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q5_0.gguf) | Q5_0 | 5 | 6.48 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [gemma-2-9b-it-Q5_K_M.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q5_K_M.gguf) | Q5_K_M | 5 | 6.65 GB| large, very low quality loss - recommended |
| [gemma-2-9b-it-Q5_K_S.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q5_K_S.gguf) | Q5_K_S | 5 | 6.48 GB| large, low quality loss - recommended |
| [gemma-2-9b-it-Q6_K.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q6_K.gguf) | Q6_K | 6 | 7.59 GB| very large, extremely low quality loss |
| [gemma-2-9b-it-Q8_0.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-Q8_0.gguf) | Q8_0 | 8 | 9.83 GB| very large, extremely low quality loss - not recommended |
| [gemma-2-9b-it-f16.gguf](https://huggingface.co/second-state/gemma-2-9b-it-GGUF/blob/main/gemma-2-9b-it-f16.gguf) | f16 | 16 | 18.5 GB| |
*Quantized with llama.cpp b3259*

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{
"architectures": [
"Gemma2ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attn_logit_softcapping": 50.0,
"bos_token_id": 2,
"cache_implementation": "hybrid",
"eos_token_id": 1,
"final_logit_softcapping": 30.0,
"head_dim": 256,
"hidden_act": "gelu_pytorch_tanh",
"hidden_activation": "gelu_pytorch_tanh",
"hidden_size": 3584,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"model_type": "gemma2",
"num_attention_heads": 16,
"num_hidden_layers": 42,
"num_key_value_heads": 8,
"pad_token_id": 0,
"query_pre_attn_scalar": 224,
"rms_norm_eps": 1e-06,
"rope_theta": 10000.0,
"sliding_window": 4096,
"sliding_window_size": 4096,
"torch_dtype": "bfloat16",
"transformers_version": "4.42.0.dev0",
"use_cache": true,
"vocab_size": 256000
}

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{"framework":"other","task":"text-generation"}

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