Llama-3-Taiwan-8B-Instruct-GGUF
Original Model
yentinglin/Llama-3-Taiwan-8B-Instruct
Run with LlamaEdge
LlamaEdge version: v0.14.1 and above
Prompt template
Prompt type:
llama-3-chat
Prompt string
<|begin_of_text|><|start_header_id|>system<|end_header_id|> {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|> {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Context size:
4096
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template llama-3-chat \ --ctx-size 4096 \ --model-name Llama-3-Taiwan-8B-Instruct \
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template llama-3-chat \ --ctx-size 4096
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Llama-3-Taiwan-8B-Instruct-Q2_K.gguf | Q2_K | 2 | 3.18 GB | smallest, significant quality loss - not recommended for most purposes |
Llama-3-Taiwan-8B-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 4.32 GB | small, substantial quality loss |
Llama-3-Taiwan-8B-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 4.02 GB | very small, high quality loss |
Llama-3-Taiwan-8B-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 3.66 GB | very small, high quality loss |
Llama-3-Taiwan-8B-Instruct-Q4_0.gguf | Q4_0 | 4 | 4.66 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Llama-3-Taiwan-8B-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 4.92 GB | medium, balanced quality - recommended |
Llama-3-Taiwan-8B-Instruct-Q4_K_S.gguf | Q4_K_S | 4 | 4.69 GB | small, greater quality loss |
Llama-3-Taiwan-8B-Instruct-Q5_0.gguf | Q5_0 | 5 | 5.6 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
Llama-3-Taiwan-8B-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 5.73 GB | large, very low quality loss - recommended |
Llama-3-Taiwan-8B-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 5.6 GB | large, low quality loss - recommended |
Llama-3-Taiwan-8B-Instruct-Q6_K.gguf | Q6_K | 6 | 6.6 GB | very large, extremely low quality loss |
Llama-3-Taiwan-8B-Instruct-Q8_0.gguf | Q8_0 | 8 | 8.54 GB | very large, extremely low quality loss - not recommended |
Llama-3-Taiwan-8B-Instruct-f16.gguf | f16 | 16 | 16.1 GB |
Quantized with llama.cpp b3613.
- Downloads last month
- 56
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.
Model tree for second-state/Llama-3-Taiwan-8B-Instruct-GGUF
Base model
meta-llama/Meta-Llama-3-70B
Finetuned
yentinglin/Llama-3-Taiwan-8B-Instruct