Limstral 7B V0.1 by mrm8488

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  Autotrain compatible   Dataset:gair/lima   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Limstral 7B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Limstral 7B V0.1 (mrm8488/limstral-7B-v0.1)
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Limstral 7B V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Text generation tasks
Applications:
Instruction following
Primary Use Cases:
Generating text based on given instructions
Additional Notes 
Uses Native AMP for mixed precision training.
Supported Languages 
en (full)
Training Details 
Data Sources:
GAIR/lima
Methodology:
Fine-tuned using LoRA PEFT technique
Context Length:
2048
Hardware Used:
1 x A100 (40GB) GPU
Model Architecture:
Transformer-based language model
Input Output 
Input Format:
Text input with [INST] instructions
Accepted Modalities:
text
Output Format:
Generated text
LLM NameLimstral 7B V0.1
Repository ๐Ÿค—https://huggingface.co/mrm8488/limstral-7B-v0.1 
Model Size7b
Required VRAM14.4 GB
Updated2025-08-18
Maintainermrm8488
Model Typemistral
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/limstral-7B-v0.1.

Rank the Limstral 7B V0.1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124