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Llama 2 7B Chat Hf 2bitgs8 Hqq by mobiuslabsgmbh

 »  All LLMs  »  mobiuslabsgmbh  »  Llama 2 7B Chat Hf 2bitgs8 Hqq   URL Share it on

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  Autotrain compatible   Conversational   Llama   Region:us
Model Card on HF 🤗: https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-chat-hf_2bitgs8_hqq 

Llama 2 7B Chat Hf 2bitgs8 Hqq Benchmarks

LLME Score: 0.17672
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 2bitgs8 Hqq (mobiuslabsgmbh/Llama-2-7b-chat-hf_2bitgs8_hqq)

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

Model Type 
text generation
Use Cases 
Areas:
research, text generation
Applications:
language modeling, chatbot solutions
Primary Use Cases:
text generation tasks, understanding specific prompts
Limitations:
quantization may affect precision for certain tasks
Additional Notes 
This version offloads the meta-data to the CPU for efficient VRAM usage with low-rank adapters.
Training Details 
Data Sources:
wikitext-2-raw-v1, timdettmers/openassistant-guanaco, microsoft/orca-math-word-problems-200k, meta-math/MetaMathQA, HuggingFaceH4/ultrafeedback_binarized
Methodology:
Quantized at 2-bit, fine-tuned with low-rank adapter (HQQ+)
Model Architecture:
Quantized with low-rank adapter
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
generated text responses
Performance Tips:
Use streaming inference for efficient text generation
LLM NameLlama 2 7B Chat Hf 2bitgs8 Hqq
Repository 🤗https://huggingface.co/mobiuslabsgmbh/Llama-2-7b-chat-hf_2bitgs8_hqq 
Model Size7b
Required VRAM3.8 GB
Updated2025-03-14
Maintainermobiuslabsgmbh
Model Typellama
Model Files  3.8 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_2bitgs8_hqq.

Rank the Llama 2 7B Chat Hf 2bitgs8 Hqq 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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