Llama 2 7B Chat Hf 1bitgs8 Hqq by mobiuslabsgmbh

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  Arxiv:2402.17764   Autotrain compatible   Conversational   Llama   Region:us

Llama 2 7B Chat Hf 1bitgs8 Hqq 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 Chat Hf 1bitgs8 Hqq (mobiuslabsgmbh/Llama-2-7b-chat-hf_1bitgs8_hqq)

Llama 2 7B Chat Hf 1bitgs8 Hqq Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Additional Notes 
This model version offloads metadata to the CPU, storing only binary weights and low-rank adapters in GPU memory.
Training Details 
Data Sources:
wikitext-2-raw-v1, timdettmers/openassistant-guanaco, microsoft/orca-math-word-problems-200k, meta-math/MetaMathQA, HuggingFaceH4/ultrafeedback_binarized
Methodology:
SFT with 1-bit quantization and low-rank adapter fine-tuning
Model Architecture:
Quantized low-rank adapter model
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 2 7B Chat Hf 1bitgs8 Hqq
Repository ๐Ÿค—https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-chat-hf_1bitgs8_hqq 
Model Size7b
Required VRAM3 GB
Updated2025-03-12
Maintainermobiuslabsgmbh
Model Typellama
Model Files  3.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.39.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than mobiuslabsgmbh/Llama-2-7b-chat-hf_1bitgs8_hqq.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227