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Reflection-Llama-3.1-70B-GGUF

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metadata
license: llama3.1
model_name: Reflection-Llama-3.1-70B
base_model: mattshumer/ref_70_e3
inference: false
model_creator: Meta Llama3
model_type: llama
pipeline_tag: text-generation
library_name: transformers
quantized_by: Second State Inc.

Reflection-Llama-3.1-70B-GGUF

Original Model

mattshumer/ref_70_e3

  • The recommended system prompt for this model
You are a world-class AI system, capable of complex reasoning and reflection. Reason through the query inside <thinking> tags, and then provide your final response inside <output> tags. If you detect that you made a mistake in your reasoning at any point, correct yourself inside <reflection> tags.

  • Tips for performance

    • Recommended temperature: 0.5
    • Recommended top_p: 0.95
    • For increased accuracy, append Think carefully. at the end of your messages.

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:Reflection-Llama-3.1-70B-Q5_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:Reflection-Llama-3.1-70B-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template llama-3-chat \
  --ctx-size 128000

Quantized GGUF Models

Name Quant method Bits Size Use case
Reflection-Llama-3.1-70B-Q2_K.gguf Q2_K 2 26.4 GB smallest, significant quality loss - not recommended for most purposes
Reflection-Llama-3.1-70B-Q3_K_L.gguf Q3_K_L 3 37.1 GB small, substantial quality loss
Reflection-Llama-3.1-70B-Q3_K_M.gguf Q3_K_M 3 34.3 GB very small, high quality loss
Reflection-Llama-3.1-70B-Q3_K_S.gguf Q3_K_S 3 30.9 GB very small, high quality loss
Reflection-Llama-3.1-70B-Q4_0.gguf Q4_0 4 40 GB legacy; small, very high quality loss - prefer using Q3_K_M
Reflection-Llama-3.1-70B-Q4_K_M.gguf Q4_K_M 4 42.5 GB medium, balanced quality - recommended
Reflection-Llama-3.1-70B-Q4_K_S.gguf Q4_K_S 4 40.3 GB small, greater quality loss
Reflection-Llama-3.1-70B-Q5_0.gguf Q5_0 5 48.7 GB legacy; medium, balanced quality - prefer using Q4_K_M
Reflection-Llama-3.1-70B-Q5_K_M.gguf Q5_K_M 5 49.9 GB large, very low quality loss - recommended
Reflection-Llama-3.1-70B-Q5_K_S.gguf Q5_K_S 5 48.7 GB large, low quality loss - recommended
Reflection-Llama-3.1-70B-Q6_K-00001-of-00002.gguf Q6_K 6 29.8 GB very large, extremely low quality loss
Reflection-Llama-3.1-70B-Q6_K-00002-of-00002.gguf Q6_K 6 28.0 GB very large, extremely low quality loss
Reflection-Llama-3.1-70B-Q8_0-00001-of-00003.gguf Q8_0 8 29.8 GB very large, extremely low quality loss - not recommended
Reflection-Llama-3.1-70B-Q8_0-00002-of-00003.gguf Q8_0 8 29.8 GB very large, extremely low quality loss - not recommended
Reflection-Llama-3.1-70B-Q8_0-00003-of-00003.gguf Q8_0 8 15.4 GB very large, extremely low quality loss - not recommended
Reflection-Llama-3.1-70B-f16-00001-of-00005.gguf f16 16 30.0 GB
Reflection-Llama-3.1-70B-f16-00002-of-00005.gguf f16 16 29.6 GB
Reflection-Llama-3.1-70B-f16-00003-of-00005.gguf f16 16 29.6 GB
Reflection-Llama-3.1-70B-f16-00004-of-00005.gguf f16 16 29.6 GB
Reflection-Llama-3.1-70B-f16-00005-of-00005.gguf f16 16 22.2 GB

Quantized with llama.cpp 3664.