Reflection Llama 3.1 70B by unsloth

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Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Instruct   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Reflection Llama 3.1 70B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reflection Llama 3.1 70B (unsloth/Reflection-Llama-3.1-70B)

Reflection Llama 3.1 70B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The model is trained with a unique reflection methodology, enabling it to self-correct reasoning errors. Special tags are used to separate reasoning from final output.
Training Details 
Methodology:
Reflection-Tuning
Hardware Used:
48GB VRAM
Input Output 
Input Format:
The input queries should be surrounded by special tags for reasoning and reflection.
Accepted Modalities:
text
Output Format:
The output will consist of reasoning in special tags and the final answer in other tags.
Performance Tips:
Initial recommendations include using a temperature of 0.7 and a top_p of 0.95 for optimal performance.
LLM NameReflection Llama 3.1 70B
Repository ๐Ÿค—https://huggingface.co/unsloth/Reflection-Llama-3.1-70B 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B-Instruct   meta-llama/Meta-Llama-3.1-70B-Instruct
Model Size70b
Required VRAM141.9 GB
Updated2025-02-05
Maintainerunsloth
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128262
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Reflection-Llama-3.1-70B.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227