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Llama3 Merge by dustinwloring1988

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  4bit   Autotrain compatible Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   License:apache-2.0   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Llama3 Merge Benchmarks

ARC: 58.7 vs 96.7 (so35)-39.3%
HellaSwag: 80.74 vs 95.3 (gpt4)-15.3%
MMLU: 66.01 vs 88.3 (so35)-25.2%
TruthfulQA: 49.51 vs 59 (gpt4)-16.1%
WinoGrande: 75.45 vs 87.5 (gpt4)-13.8%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.26039
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama3 Merge Parameters and Internals

LLM NameLlama3 Merge
Repository 🤗https://huggingface.co/dustinwloring1988/llama3-merge 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-07-21
Maintainerdustinwloring1988
Model Typellama
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 Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16
Llama3 Merge (dustinwloring1988/llama3-merge)

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Llama 3 8B Instruct 262K 2bit256K / 2.5 GB11
...B Instruct 262k V2 EXL2 8.0bpw256K / 8.4 GB60

Rank the Llama3 Merge Capabilities

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Release v2024072803
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