metadata
license: llama3.1
model_name: Meta-Llama-3.1-70B-Instruct
base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
inference: false
model_creator: Meta Llama3
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
Meta-Llama-3.1-70B-Instruct-GGUF
Original Model
meta-llama/Meta-Llama-3.1-70B-Instruct
Run with LlamaEdge
LlamaEdge version: v0.12.4 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:
128000
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf \ llama-api-server.wasm \ --prompt-template llama-3-chat \ --ctx-size 128000 \ --model-name Llama-3.1-70b
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf \ llama-chat.wasm \ --prompt-template llama-3-chat \ --ctx-size 128000
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
Meta-Llama-3.1-70B-Instruct-Q2_K.gguf | Q2_K | 2 | 26.4 GB | smallest, significant quality loss - not recommended for most purposes |
Meta-Llama-3.1-70B-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 37.1 GB | small, substantial quality loss |
Meta-Llama-3.1-70B-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 34.3 GB | very small, high quality loss |
Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 30.9 GB | very small, high quality loss |
Meta-Llama-3.1-70B-Instruct-Q4_0.gguf | Q4_0 | 4 | 40 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 42.5 GB | medium, balanced quality - recommended |
Quantized with llama.cpp 3445.