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Llama 2 7B Chat Nf4 Fp16 Upscaled by arnavgrg

 »  All LLMs  »  arnavgrg  »  Llama 2 7B Chat Nf4 Fp16 Upscaled   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Fp16   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arnavgrg/llama-2-7b-chat-nf4-fp16-upscaled 

Llama 2 7B Chat Nf4 Fp16 Upscaled Benchmarks

LLME Score: 0.14581
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 Nf4 Fp16 Upscaled (arnavgrg/llama-2-7b-chat-nf4-fp16-upscaled)

Llama 2 7B Chat Nf4 Fp16 Upscaled Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
The model is an upscaled fp16 variant of the original Llama-2-7b-chat and includes nf4 4-bit quantization via bitsandbytes. Note that the quantization operation is not lossless, impacting performance compared to the base model.
Input Output 
Accepted Modalities:
text
Performance Tips:
Use FP16 with transformers to load the model efficiently.
LLM NameLlama 2 7B Chat Nf4 Fp16 Upscaled
Repository 🤗https://huggingface.co/arnavgrg/llama-2-7b-chat-nf4-fp16-upscaled 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-12
Maintainerarnavgrg
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
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 arnavgrg/llama-2-7b-chat-nf4-fp16-upscaled.

Rank the Llama 2 7B Chat Nf4 Fp16 Upscaled 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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Release v20241227
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