Mistral 7B Ft H4 No Robots Instructions by mrm8488

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Dataset:huggingfaceh4/no robot...   Doi:10.57967/hf/1426   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Ft H4 No Robots Instructions Benchmarks

Mistral 7B Ft H4 No Robots Instructions (mrm8488/mistral-7b-ft-h4-no_robots_instructions)
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Mistral 7B Ft H4 No Robots Instructions Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (supported)
Training Details 
Data Sources:
HuggingFaceH4/no_robots
Methodology:
LoRA PEFT technique with `huggingface/peft` library and `trl/sft`
Context Length:
2048
Hardware Used:
1 x A100 (40GB) GPU
LLM NameMistral 7B Ft H4 No Robots Instructions
Repository ๐Ÿค—https://huggingface.co/mrm8488/mistral-7b-ft-h4-no_robots_instructions 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-08-20
Maintainermrm8488
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mrm8488/mistral-7b-ft-h4-no_robots_instructions.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124