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Llama 3 Merge Virt Req 8B by grimjim

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  Merged Model   Autotrain compatible Base model:elyn-dev/llama-3-so... Base model:grimjim/llama-3-mer...   Conversational   En   Endpoints compatible   Instruct   Llama   Llama-3   Meta   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 Merge Virt Req 8B Benchmarks

ARC: 61.86 vs 96.7 (so35)-36%
HellaSwag: 80.52 vs 95.3 (gpt4)-15.5%
MMLU: 66.73 vs 88.3 (so35)-24.4%
TruthfulQA: 52.35 vs 59 (gpt4)-11.3%
WinoGrande: 75.85 vs 87.5 (gpt4)-13.3%
GSM8K: 64.67 vs 96.4 (so35)-32.9%
LLME Score: 0.22319
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 Merge Virt Req 8B Parameters and Internals

LLM NameLlama 3 Merge Virt Req 8B
Repository 🤗https://huggingface.co/grimjim/llama-3-merge-virt-req-8B 
Base Model(s)  Llama 3 Soliloquy 8B V2   Llama 3 Merge Pp Instruct 8B   openlynn/Llama-3-Soliloquy-8B-v2   grimjim/llama-3-merge-pp-instruct-8B
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2024-10-18
Maintainergrimjim
Model Typellama
Instruction-BasedYes
Model Files  6.0 GB: 1-of-3   6.0 GB: 2-of-3   4.1 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Merge Virt Req 8B (grimjim/llama-3-merge-virt-req-8B)

Quantized Models of the Llama 3 Merge Virt Req 8B

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VRAM
...3 8B Irene V0.2 6.5bpw H8 EXL2197 GB

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/llama-3-merge-virt-req-8B.

Rank the Llama 3 Merge Virt Req 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v2024072803
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