Meta-Llama-3-70B-Instruct-GGUF
Original Model
meta-llama/Meta-Llama-3-70B-Instruct
Run with LlamaEdge
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LlamaEdge version: v0.8.3 and above
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Prompt template
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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|>
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Context size:
8192 -
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3-70B-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template llama-3-chat \ --ctx-size 8192 \ --model-name Llama-3-70b -
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3-70B-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template llama-3-chat \ --ctx-size 8192
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| Meta-Llama-3-70B-Instruct-Q2_K.gguf | Q2_K | 2 | 26.4 GB | smallest, significant quality loss - not recommended for most purposes |
| Meta-Llama-3-70B-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 37.1 GB | small, substantial quality loss |
| Meta-Llama-3-70B-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 34.3 GB | very small, high quality loss |
| Meta-Llama-3-70B-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 30.9 GB | very small, high quality loss |
| Meta-Llama-3-70B-Instruct-Q4_0.gguf | Q4_0 | 4 | 40 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| Meta-Llama-3-70B-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 42.5 GB | medium, balanced quality - recommended |
| Meta-Llama-3-70B-Instruct-Q5_0.gguf | Q5_0 | 5 | 48.7 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| Meta-Llama-3-70B-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 50 GB | large, very low quality loss - recommended |
| Meta-Llama-3-70B-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 48.7 GB | large, low quality loss - recommended |
| Meta-Llama-3-70B-Instruct-Q6_K-00001-of-00002.gguf | Q6_K | 6 | 32.1 GB | very large, extremely low quality loss |
| Meta-Llama-3-70B-Instruct-Q6_K-00002-of-00002.gguf | Q6_K | 6 | 25.7 GB | very large, extremely low quality loss |
| Meta-Llama-3-70B-Instruct-Q8_0-00001-of-00003.gguf | Q8_0 | 8 | 32 GB | very large, extremely low quality loss - not recommended |
| Meta-Llama-3-70B-Instruct-Q8_0-00002-of-00003.gguf | Q8_0 | 8 | 32.1 GB | very large, extremely low quality loss - not recommended |
| Meta-Llama-3-70B-Instruct-Q8_0-00003-of-00003.gguf | Q8_0 | 8 | 10.9 GB | very large, extremely low quality loss - not recommended |
| Meta-Llama-3-70B-Instruct-f16-00001-of-00005.gguf | f16 | 16 | 32.1 GB | |
| Meta-Llama-3-70B-Instruct-f16-00002-of-00005.gguf | f16 | 16 | 32 GB | |
| Meta-Llama-3-70B-Instruct-f16-00003-of-00005.gguf | f16 | 16 | 32 GB | |
| Meta-Llama-3-70B-Instruct-f16-00004-of-00005.gguf | f16 | 16 | 31.7 GB | |
| Meta-Llama-3-70B-Instruct-f16-00005-of-00005.gguf | f16 | 16 | 13.1 GB |
Quantized with llama.cpp b2715.