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Llama 2 7B AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Llama 2 7B AWQ   URL Share it on

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  Arxiv:2307.09288   4-bit   Autotrain compatible   Awq Base model:meta-llama/llama-2-... Base model:quantized:meta-llam...   En   Facebook   Llama   Llama2   Meta   Pytorch   Quantized   Region:us   Safetensors

Llama 2 7B AWQ Benchmarks

LLME Score: 0.15859
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 AWQ Parameters and Internals

Model Type 
llama
Use Cases 
Areas:
commercial, research
Primary Use Cases:
assistant-like chat
Training Details 
Data Sources:
A new mix of publicly available online data
Data Volume:
2.0T tokens
Methodology:
Pretrained using publicly available online data.
Context Length:
4000
Training Time:
January 2023 - July 2023
Hardware Used:
Meta's Research Super Cluster, A100-80GB GPUs
Model Architecture:
Auto-regressive language model with optimized transformer architecture
Input Output 
Input Format:
{prompt}
LLM NameLlama 2 7B AWQ
Repository 🤗https://huggingface.co/TheBloke/Llama-2-7B-AWQ 
Model NameLlama 2 7B
Model CreatorMeta
Base Model(s)  Llama 2 7B Hf   meta-llama/Llama-2-7b-hf
Model Size7b
Required VRAM3.9 GB
Updated2024-11-19
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Llama 2 7B AWQ (TheBloke/Llama-2-7B-AWQ)

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

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Release v20241110
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