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Newton 7B 8.0bpw H8 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Newton 7B 8.0bpw H8 EXL2   URL Share it on

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  Arxiv:2305.14314   Autotrain compatible   Axolotl Base model:finetune:openchat/o... Base model:openchat/openchat-3...   Conversational   Dataset:allenai/ai2 arc   Dataset:camel-ai/biology   Dataset:camel-ai/chemistry   Dataset:camel-ai/math   Dataset:camel-ai/physics   Dataset:derek-thomas/scienceqa Dataset:hendrycks/competition ...   Dataset:mandyyyyii/scibench   Dataset:metaeval/reclor   Dataset:openbookqa   Dataset:piqa   Dataset:sciq Dataset:stem-ai-mtl/electrical...   Dataset:tiger-lab/scienceeval   Endpoints compatible   Exl2   Finetuned   Mistral   Qlora   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Newton-7B-8.0bpw-h8-exl2 

Newton 7B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.16413
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Newton 7B 8.0bpw H8 EXL2 (LoneStriker/Newton-7B-8.0bpw-h8-exl2)

Newton 7B 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
MistralForCausalLM
Additional Notes 
Model is a fine-tuned version using various scientific datasets for improved performance in science-related tasks.
Training Details 
Data Sources:
hendrycks/competition_math, allenai/ai2_arc, camel-ai/physics, camel-ai/chemistry, camel-ai/biology, camel-ai/math, STEM-AI-mtl/Electrical-engineering, openbookqa, piqa, metaeval/reclor, mandyyyyii/scibench, derek-thomas/ScienceQA, sciq, TIGER-Lab/ScienceEval
Methodology:
Fine-tuned using QLoRa and axolotl
Context Length:
8192
Model Architecture:
Mistral derived model with QLoRa adaptation
Input Output 
Input Format:
GPT4 Correct User: {instruction}<|end_of_turn|>GPT4 Correct Assistant
Accepted Modalities:
text
Output Format:
GPT4 Correct Assistant
LLM NameNewton 7B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Newton-7B-8.0bpw-h8-exl2 
Base Model(s)  openchat/openchat-3.5-0106   openchat/openchat-3.5-0106
Model Size7b
Required VRAM7.4 GB
Updated2025-02-05
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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