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Shearedplats 2.7B V2 Instruct V0.1 by mwitiderrick

 »  All LLMs  »  mwitiderrick  »  Shearedplats 2.7B V2 Instruct V0.1   URL Share it on

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  Autotrain compatible Base model:finetune:vihangd/sh... Base model:vihangd/shearedplat... Dataset:mwitiderrick/openplaty...   En   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 

Shearedplats 2.7B V2 Instruct V0.1 Benchmarks

ARC: 40.19 vs 96.7 (so35)-58.4%
HellaSwag: 70.08 vs 95.3 (gpt4)-26.5%
MMLU: 28.12 vs 88.3 (so35)-68.2%
TruthfulQA: 41.23 vs 59 (gpt4)-30.1%
WinoGrande: 65.04 vs 87.5 (gpt4)-25.7%
GSM8K: 2.12 vs 96.4 (so35)-97.8%
LLME Score: 0.19111
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 V2 Instruct V0.1 (mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1)

Shearedplats 2.7B V2 Instruct V0.1 Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
Open-Platypus
Input Output 
Input Format:
### Instruction: {prompt} ### Response:
LLM NameShearedplats 2.7B V2 Instruct V0.1
Repository 🤗https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 
Base Model(s)  vihangd/shearedplats-2.7b-v2   vihangd/shearedplats-2.7b-v2
Model Size2.7b
Required VRAM5.4 GB
Updated2025-02-22
Maintainermwitiderrick
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.4 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Rank the Shearedplats 2.7B V2 Instruct V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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