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Dopeyshearedplats 2.7B V1 by vihangd

 »  All LLMs  »  vihangd  »  Dopeyshearedplats 2.7B V1   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/vihangd/dopeyshearedplats-2.7b-v1 

Dopeyshearedplats 2.7B V1 Benchmarks

ARC: 46.08 vs 96.7 (so35)-52.3%
HellaSwag: 75.17 vs 95.3 (gpt4)-21.1%
MMLU: 29.01 vs 88.3 (so35)-67.1%
TruthfulQA: 44.12 vs 59 (gpt4)-25.2%
WinoGrande: 62.67 vs 87.5 (gpt4)-28.4%
GSM8K: 0.38 vs 96.4 (so35)-99.6%
LLME Score: 0.17653
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Dopeyshearedplats 2.7B V1 Parameters and Internals

Training Details 
Data Sources:
alpca style datasets
Methodology:
DPO finetune with Alpaca-QLoRA
Input Output 
Input Format:
alpaca style prompt template
LLM NameDopeyshearedplats 2.7B V1
Repository 🤗https://huggingface.co/vihangd/dopeyshearedplats-2.7b-v1 
Model Size2.7b
Required VRAM5.7 GB
Updated2025-06-09
Maintainervihangd
Model Typellama
Model Files  0.4 GB: 1-of-15   0.4 GB: 2-of-15   0.4 GB: 3-of-15   0.4 GB: 4-of-15   0.4 GB: 5-of-15   0.4 GB: 6-of-15   0.4 GB: 7-of-15   0.4 GB: 8-of-15   0.4 GB: 9-of-15   0.4 GB: 10-of-15   0.4 GB: 11-of-15   0.4 GB: 12-of-15   0.4 GB: 13-of-15   0.3 GB: 14-of-15   0.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Dopeyshearedplats 2.7B V1 (vihangd/dopeyshearedplats-2.7b-v1)

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Note: green Score (e.g. "73.2") means that the model is better than vihangd/dopeyshearedplats-2.7b-v1.

Rank the Dopeyshearedplats 2.7B V1 Capabilities

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Instruction Following and Task Automation  
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