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Kichtral 7B V0.3 by rapminerz

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Kichtral 7B V0.3 is an open-source language model by rapminerz. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, LLM Explorer Score: 0.13.

  Endpoints compatible   Fr   Lyrics   Mistral   Music   Rap   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rapminerz/Kichtral-7B-v0.3 

Kichtral 7B V0.3 Benchmarks

LLME Score: 0.13237
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kichtral 7B V0.3 (rapminerz/Kichtral-7B-v0.3)
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Kichtral 7B V0.3 Parameters and Internals

Model Type 
Casual Language Model
Use Cases 
Areas:
research
Applications:
music lyrics generation, french slang research
Supported Languages 
French (native)
Training Details 
Data Sources:
French rap lyrics from songs with at least 10k streams on Spotify
Data Volume:
36M tokens
Training Time:
15 hours
Hardware Used:
AWS SageMaker on a single ml.g5.2xlarge instance
Model Architecture:
Mistral 7B v0.3
Input Output 
Input Format:
prompt (text)
Accepted Modalities:
text
Output Format:
generated lyrics (text)
Performance Tips:
Another method should be needed to prompt for rhymes and topics.
LLM NameKichtral 7B V0.3
Repository 🤗https://huggingface.co/rapminerz/Kichtral-7B-v0.3 
Model Size7b
Required VRAM14.4 GB
Updated2026-05-08
Maintainerrapminerz
Model Typemistral
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesfr
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than rapminerz/Kichtral-7B-v0.3.

Rank the Kichtral 7B V0.3 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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