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Llama2 7B Merge Orcafamily AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Llama2 7B Merge Orcafamily AWQ   URL Share it on

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  Merged Model   4-bit   Autotrain compatible   Awq Base model:quantized:yeen214/l... Base model:yeen214/llama2 7b m... Dataset:beaugogh/openorca-mult...   Dataset:open-orca/slimorca   En   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/llama2_7b_merge_orcafamily-AWQ 

Llama2 7b Merge Orcafamily AWQ Benchmarks

LLME Score: 0.12461
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 7B Merge Orcafamily AWQ (TheBloke/llama2_7b_merge_orcafamily-AWQ)
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Llama2 7B Merge Orcafamily AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Quantized by TheBloke using AWQ, supported by Massed Compute. The quantized version enables efficient, fast low-bit weight operations with various supported platforms and settings. Dual licensing is noted due to Llama 2's involvement.
Supported Languages 
en (English)
Training Details 
Data Sources:
Open-Orca/SlimOrca, beaugogh/openorca-multiplechoice-10k
Methodology:
Three models were combined, focusing on the best ARC and MMLU performance. The NEFTune method was used for fine-tuning.
Model Architecture:
Built on LLama 7b backbone with fine-tuning using various Orcas datasets.
LLM NameLlama2 7b Merge Orcafamily AWQ
Repository 🤗https://huggingface.co/TheBloke/llama2_7b_merge_orcafamily-AWQ 
Model NameLlama2 7B Merge Orcafamily
Model Creatoryeen heui yeen
Base Model(s)  Llama2 7b Merge Orcafamily   yeen214/llama2_7b_merge_orcafamily
Merged ModelYes
Model Size7b
Required VRAM3.9 GB
Updated2025-08-18
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/llama2_7b_merge_orcafamily-AWQ.

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