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Reflection Llama 3.1 70B GGUF by unsloth

 »  All LLMs  »  unsloth  »  Reflection Llama 3.1 70B GGUF   URL Share it on

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Base model:mattshumer/ref 70 e... Base model:quantized:mattshume...   Conversational   Endpoints compatible   Gguf   Llama   Llama-3   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Reflection-Llama-3.1-70B-GGUF 

Reflection Llama 3.1 70B GGUF Benchmarks

LLME Score: 0.2401
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 GGUF (unsloth/Reflection-Llama-3.1-70B-GGUF)

Reflection Llama 3.1 70B GGUF Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
You can fine-tune Reflection-3.1 70B with 48GB of VRAM with Unsloth! Reflection 70B uses a new technique called Reflection-Tuning that teaches a LLM to detect mistakes in its reasoning and correct course.
Training Details 
Methodology:
Reflection-Tuning
Model Architecture:
Llama 3.1 70B Instruct
Input Output 
Input Format:
uses the standard Llama 3.1 chat format
Accepted Modalities:
text
Output Format:
standard Llama 3.1 chat format with reasoning and final answer separation
Performance Tips:
For increased accuracy, append 'Think carefully.' at the end of your messages.
LLM NameReflection Llama 3.1 70B GGUF
Repository 🤗https://huggingface.co/unsloth/Reflection-Llama-3.1-70B-GGUF 
Base Model(s)  Ref 70 E3   mattshumer/ref_70_e3
Model Size70b
Required VRAM26.4 GB
Updated2024-12-22
Maintainerunsloth
Model Typellama
Model Files  26.4 GB   37.1 GB   42.5 GB   49.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
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-GGUF.

Rank the Reflection Llama 3.1 70B GGUF Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241217
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