Llama 2 7B Hf Dolly Flash Attention by ctrltokyo

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Llama 2 7B Hf Dolly Flash Attention is an open-source language model by ctrltokyo. Features: 7b LLM, VRAM: 27GB, LLM Explorer Score: 0.09.

  Adapter Dataset:databricks/databricks-...   En   Finetuned   Llama   Lora   Peft   Pytorch   Region:us   Sharded

Llama 2 7B Hf Dolly Flash Attention Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Hf Dolly Flash Attention (ctrltokyo/llama-2-7b-hf-dolly-flash-attention)
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Llama 2 7B Hf Dolly Flash Attention Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
live autocompletion of prompts, generalized chatbot
Limitations:
Not suitable for code autocompletion.
Additional Notes 
No further testing or optimisation has been performed.
Supported Languages 
en (default)
Training Details 
Data Sources:
databricks/databricks-dolly-15k
Hardware Used:
NVIDIA A100
LLM NameLlama 2 7B Hf Dolly Flash Attention
Repository ๐Ÿค—https://huggingface.co/ctrltokyo/llama-2-7b-hf-dolly-flash-attention 
Model Size7b
Required VRAM27 GB
Updated2026-02-08
Maintainerctrltokyo
Model Files  0.1 GB   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than ctrltokyo/llama-2-7b-hf-dolly-flash-attention.

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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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Release v20260328a