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OrcaAgent Llama3.2 8B by Isotonic

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  Arxiv:1910.09700   4bit   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:isotonic/agentinstruct... Dataset:microsoft/orca-agentin...   En   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/Isotonic/OrcaAgent-llama3.2-8b 

OrcaAgent Llama3.2 8B Benchmarks

ARC: 60.75 vs 96.7 (so35)-37.2%
HellaSwag: 78.55 vs 95.3 (gpt4)-17.6%
MMLU: 67.07 vs 88.3 (so35)-24%
TruthfulQA: 51.65 vs 59 (gpt4)-12.5%
WinoGrande: 74.51 vs 87.5 (gpt4)-14.8%
GSM8K: 68.69 vs 96.4 (so35)-28.7%
LLME Score: 0.27232
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OrcaAgent Llama3.2 8B (Isotonic/OrcaAgent-llama3.2-8b)

OrcaAgent Llama3.2 8B Parameters and Internals

LLM NameOrcaAgent Llama3.2 8B
Repository 🤗https://huggingface.co/Isotonic/OrcaAgent-llama3.2-8b 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-12-26
MaintainerIsotonic
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 Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the OrcaAgent Llama3.2 8B Capabilities

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Instruction Following and Task Automation  
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Release v20241217
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