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StableLManticore 7B by openaccess-ai-collective

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  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/openaccess-ai-collective/StableLManticore-7B 

StableLManticore 7B Benchmarks

LLME Score: 0.10201
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
StableLManticore 7B (openaccess-ai-collective/StableLManticore-7B)

StableLManticore 7B Parameters and Internals

Additional Notes 
The model was an experimental trial to see the plausibility of training with current tools. It has poor support for SFT with the Hugging Face trainer and lacks features like flash attention, making it inefficient. Usability is limited despite possibilities with LoRA.
Training Details 
Methodology:
Experiment using LoRA
LLM NameStableLManticore 7B
Repository 🤗https://huggingface.co/openaccess-ai-collective/StableLManticore-7B 
Model Size7b
Required VRAM16 GB
Updated2025-02-22
Maintaineropenaccess-ai-collective
Model Typegpt_neox
Model Files  10.1 GB: 1-of-2   5.9 GB: 2-of-2
Model ArchitectureGPTNeoXForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.30.0.dev0
Vocabulary Size50432
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/StableLManticore-7B.

Rank the StableLManticore 7B Capabilities

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