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Stablelm Tuned Alpha 3B 16bit by vvsotnikov

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  16bit   Autotrain compatible   Dataset:dahoas/full-hh-rlhf   Dataset:dmayhem93/chatcombined Dataset:huggingfaceh4/databric... Dataset:jeffwan/sharegpt vicun... Dataset:nomic-ai/gpt4all promp...   Dataset:tatsu-lab/alpaca   En   Endpoints compatible   Gpt neox   Pytorch   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/vvsotnikov/stablelm-tuned-alpha-3b-16bit 

Stablelm Tuned Alpha 3B 16bit Benchmarks

LLME Score: 0.09734
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stablelm Tuned Alpha 3B 16bit (vvsotnikov/stablelm-tuned-alpha-3b-16bit)

Stablelm Tuned Alpha 3B 16bit Parameters and Internals

Model Type 
causal-lm
Additional Notes 
This version is optimized for speed and memory usage, compressed to 16-bit with no functional changes from the original model.
LLM NameStablelm Tuned Alpha 3B 16bit
Repository 🤗https://huggingface.co/vvsotnikov/stablelm-tuned-alpha-3b-16bit 
Base Model(s)  Stablelm Tuned Alpha 3B   stabilityai/stablelm-tuned-alpha-3b
Model Size3b
Required VRAM7.5 GB
Updated2025-02-05
Maintainervvsotnikov
Model Typegpt_neox
Model Files  7.5 GB   7.5 GB
Supported Languagesen
Quantization Type16bit
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50688
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than vvsotnikov/stablelm-tuned-alpha-3b-16bit.

Rank the Stablelm Tuned Alpha 3B 16bit Capabilities

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Release v20241227
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