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Tulu 2 7B GGUF by TheBloke

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Tulu 2 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: other, Quantized, LLM Explorer Score: 0.11.

  Arxiv:2311.10702   Base model:allenai/tulu-2-7b Base model:quantized:allenai/t... Dataset:allenai/tulu-v2-sft-mi...   En   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/tulu-2-7B-GGUF 

Tulu 2 7B GGUF Benchmarks

LLME Score: 0.10867
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tulu 2 7B GGUF (TheBloke/tulu-2-7B-GGUF)
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Tulu 2 7B GGUF Parameters and Internals

Model Type 
instruction tuned chat, RLHF tuned
Use Cases 
Areas:
Research, Educational, Assistant applications
Limitations:
Model can produce problematic outputs especially when prompted
Considerations:
Newlines in inputs affect generation quality.
Additional Notes 
Tulu models were not aligned during RLHF phase to generate safe completions.
Supported Languages 
en (Primarily English)
Training Details 
Data Sources:
Tulu V2 mix dataset
Methodology:
Fine-tuned on a mix of publicly available, synthetic, and human datasets.
Input Output 
Input Format:
<|user|> {prompt} <|assistant|>
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Include newline after <|assistant|> for best results.
LLM NameTulu 2 7B GGUF
Repository 🤗https://huggingface.co/TheBloke/tulu-2-7B-GGUF 
Model NameTulu 2 7B
Model CreatorAllen Institute for AI
Base Model(s)  Tulu 2 7B   allenai/tulu-2-7b
Model Size7b
Required VRAM2.8 GB
Updated2026-03-05
MaintainerTheBloke
Model Typellama
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/tulu-2-7B-GGUF.

Rank the Tulu 2 7B GGUF Capabilities

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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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