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LLama3.1 Rhino 8B RAG by QomSSLab

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Model Card on HF 🤗: https://huggingface.co/QomSSLab/LLama3.1-Rhino-8B-RAG 

LLama3.1 Rhino 8B RAG Benchmarks

LLME Score: 0.21878
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLama3.1 Rhino 8B RAG (QomSSLab/LLama3.1-Rhino-8B-RAG)
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LLama3.1 Rhino 8B RAG Parameters and Internals

LLM NameLLama3.1 Rhino 8B RAG
Repository 🤗https://huggingface.co/QomSSLab/LLama3.1-Rhino-8B-RAG 
Base Model(s)  unsloth/llama-3.1-8b-instruct-bnb-4bit   unsloth/llama-3.1-8b-instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-07-14
MaintainerQomSSLab
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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...B Instruct Gradient 1048K 4bit1024K / 4.5 GB112
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB111
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB62
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB60
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB25325
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB16717
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB133
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB81
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB101
...B Instruct 262k V2 EXL2 5.0bpw256K / 5.8 GB151

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