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Mistral 7B Instruct V0.1 Fictional Mathqa Spanish V1 by yzhuang

 »  All LLMs  »  yzhuang  »  Mistral 7B Instruct V0.1 Fictional Mathqa Spanish V1   URL Share it on

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Dataset:generator   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/yzhuang/Mistral-7B-Instruct-v0.1_fictional_mathqa_Spanish_v1 

Mistral 7B Instruct V0.1 Fictional Mathqa Spanish V1 Benchmarks

LLME Score: 0.19007
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.1 Fictional Mathqa Spanish V1 (yzhuang/Mistral-7B-Instruct-v0.1_fictional_mathqa_Spanish_v1)

Mistral 7B Instruct V0.1 Fictional Mathqa Spanish V1 Parameters and Internals

Training Details 
Data Sources:
generator
LLM NameMistral 7B Instruct V0.1 Fictional Mathqa Spanish V1
Repository 🤗https://huggingface.co/yzhuang/Mistral-7B-Instruct-v0.1_fictional_mathqa_Spanish_v1 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintaineryzhuang
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yzhuang/Mistral-7B-Instruct-v0.1_fictional_mathqa_Spanish_v1.

Rank the Mistral 7B Instruct V0.1 Fictional Mathqa Spanish V1 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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Release v20241227
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