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Stablelm Tuned Alpha 7B 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   Sharded
Model Card on HF 🤗: https://huggingface.co/vvsotnikov/stablelm-tuned-alpha-7b-16bit 

Stablelm Tuned Alpha 7B 16bit Benchmarks

LMSys ELO: 840 vs 1272 (so35)-34%
ARC: 31.91 vs 96.7 (so35)-67%
HellaSwag: 53.59 vs 95.3 (gpt4)-43.8%
MMLU: 24.41 vs 88.3 (so35)-72.4%
TruthfulQA: 40.37 vs 59 (gpt4)-31.6%
WinoGrande: 53.12 vs 87.5 (gpt4)-39.3%
GSM8K: 0.83 vs 96.4 (so35)-99.1%
LLME Score: 0.14497
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 7B 16bit (vvsotnikov/stablelm-tuned-alpha-7b-16bit)

Stablelm Tuned Alpha 7B 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 7B 16bit
Repository 🤗https://huggingface.co/vvsotnikov/stablelm-tuned-alpha-7b-16bit 
Base Model(s)  Stablelm Tuned Alpha 7B   stabilityai/stablelm-tuned-alpha-7b
Model Size7b
Required VRAM16 GB
Updated2025-02-22
Maintainervvsotnikov
Model Typegpt_neox
Model Files  10.1 GB: 1-of-2   5.9 GB: 2-of-2
Supported Languagesen
Quantization Type16bit
Model ArchitectureGPTNeoXForCausalLM
Licensecc-by-nc-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.28.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat16

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StableLManticore 7B4K / 16 GB31
Note: green Score (e.g. "73.2") means that the model is better than vvsotnikov/stablelm-tuned-alpha-7b-16bit.

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