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second-state/Reflection-Llama-3.1-70B-GGUF
Reflection-Llama-3.1-70B-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.1.
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Downloads · 30 days
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.gguf673 GB · 100%
From the Hugging Face model README
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
temperature: 0.5top_p: 0.95Think carefully. at the end of your messages.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
| 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.