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Dopeystableplats 3B V1 by vihangd

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  Autotrain compatible   Custom code   Pytorch   Region:us   Sharded   Stablelm epoch
Model Card on HF 🤗: https://huggingface.co/vihangd/dopeystableplats-3b-v1 

Dopeystableplats 3B V1 Benchmarks

LLME Score: 0.14686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dopeystableplats 3B V1 (vihangd/dopeystableplats-3b-v1)

Dopeystableplats 3B V1 Parameters and Internals

Additional Notes 
An experimental finetune of the StableLM-3B-4E1T model.
Training Details 
Data Sources:
alpaca style datasets
Methodology:
Finetuning with Alpaca-QLoRA and some DPO goodness
Input Output 
Input Format:
alpaca style prompt template
LLM NameDopeystableplats 3B V1
Repository 🤗https://huggingface.co/vihangd/dopeystableplats-3b-v1 
Model Size3b
Required VRAM5.9 GB
Updated2025-03-12
Maintainervihangd
Model Typestablelm_epoch
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   0.4 GB: 14-of-15   0.3 GB: 15-of-15
Model ArchitectureStableLMEpochForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|endoftext|>
Vocabulary Size50304
Torch Data Typefloat16

Quantized Models of the Dopeystableplats 3B V1

Model
Likes
Downloads
VRAM
Dopeystableplats 3B V1 GGUF11281 GB
Dopeystableplats 3B V1 GPTQ0191 GB

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Note: green Score (e.g. "73.2") means that the model is better than vihangd/dopeystableplats-3b-v1.

Rank the Dopeystableplats 3B V1 Capabilities

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

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Release v20241227
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