Dopeyshearedplats 2.7B V1 by vihangd

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Dopeyshearedplats 2.7B V1 Benchmarks

Dopeyshearedplats 2.7B V1 (vihangd/dopeyshearedplats-2.7b-v1)

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 ๐Ÿค—https://huggingface.co/vihangd/dopeyshearedplats-2.7b-v1 
Model Size2.7b
Required VRAM5.7 GB
Updated2025-02-22
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

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227