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---
license: other
license_name: llama3
base_model: haqishen/Llama-3-8B-Japanese-Instruct
inference: false
model_creator: haqishen
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
- en
- ja
---

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<img src="https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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# Llama-3-8B-Japanese-Instruct-GGUF

## Original Model

[haqishen/Llama-3-8B-Japanese-Instruct](https://huggingface.co/haqishen/Llama-3-8B-Japanese-Instruct)


## Run with Gaianet

**Prompt template:**

prompt template: `llama-3-chat`

**Context size:**

chat_ctx_size: `4096`


**Run with GaiaNet:**

- Quick start: https://docs.gaianet.ai/node-guide/quick-start

- Customize your node: https://docs.gaianet.ai/node-guide/customize



## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Llama-3-8B-Japanese-Instruct-Q2_K.gguf](https://huggingface.co/gaianet/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
| [Llama-3-8B-Japanese-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
| [Llama-3-8B-Japanese-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
| [Llama-3-8B-Japanese-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
| [Llama-3-8B-Japanese-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Llama-3-8B-Japanese-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
| [Llama-3-8B-Japanese-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
| [Llama-3-8B-Japanese-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Llama-3-8B-Japanese-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
| [Llama-3-8B-Japanese-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
| [Llama-3-8B-Japanese-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
| [Llama-3-8B-Japanese-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
| [Llama-3-8B-Japanese-Instruct-f16.gguf](https://huggingface.co/second-state/Llama-3-8B-Japanese-Instruct-GGUF/blob/main/Llama-3-8B-Japanese-Instruct-f16.gguf)     | f16   | 16 | 16.1 GB|  |

*Quantized with llama.cpp b2824.*