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Shearedplats 2.7B V1 by vihangd

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

  2046   
  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/vihangd/shearedplats-2.7b-v1 

Shearedplats 2.7B V1 Benchmarks

LLME Score: 0.16538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shearedplats 2.7B V1 (vihangd/shearedplats-2.7b-v1)

Shearedplats 2.7B V1 Parameters and Internals

Additional Notes 
This is an experimental finetune.
Training Details 
Data Sources:
alpca style datasets
Methodology:
finetune with Alpaca-QLoRA
Input Output 
Input Format:
alpaca style prompt template
LLM NameShearedplats 2.7B V1
Repository 🤗https://huggingface.co/vihangd/shearedplats-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 Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the Shearedplats 2.7B V1 Capabilities

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Release v20241227
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