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Llama-3-8B-Japanese-Instruct-GGUF

Original Model

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	Q2_K	2	3.18 GB	smallest, significant quality loss - not recommended for most purposes
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	Q3_K_M	3	4.02 GB	very small, high quality loss
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	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	Q4_K_M	4	4.92 GB	medium, balanced quality - recommended
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	Q5_0	5	5.6 GB	legacy; medium, balanced quality - prefer using Q4_K_M
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	Q5_K_S	5	5.6 GB	large, low quality loss - recommended
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	Q8_0	8	8.54 GB	very large, extremely low quality loss - not recommended
Llama-3-8B-Japanese-Instruct-f16.gguf	f16	16	16.1 GB

Quantized with llama.cpp b2824.