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Mistral 7B V0.1 Emotion by frankmorales2020

 »  All LLMs  »  frankmorales2020  »  Mistral 7B V0.1 Emotion   URL Share it on

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7...   Dataset:generator   Finetuned   Generated from trainer   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Tensorboard   Trl
Model Card on HF 🤗: https://huggingface.co/frankmorales2020/Mistral-7B-v0.1_Emotion 

Mistral 7B V0.1 Emotion Benchmarks

LLME Score: 0.20025
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Mistral 7B V0.1 Emotion Parameters and Internals

Training Details 
Data Sources:
generator
LLM NameMistral 7B V0.1 Emotion
Repository 🤗https://huggingface.co/frankmorales2020/Mistral-7B-v0.1_Emotion 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM1.3 GB
Updated2025-03-01
Maintainerfrankmorales2020
Instruction-BasedYes
Model Files  1.3 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|down_proj|k_proj|o_proj|q_proj|gate_proj
LoRA Alpha128
LoRA Dropout0.05
R Param256

Best Alternatives to Mistral 7B V0.1 Emotion

Best Alternatives
Context / RAM
Downloads
Likes
Qwen Megumin0K / 0.1 GB130
Deepthink Reasoning Adapter0K / 0.2 GB1811
Mistral 7B Instruct Sa V0.10K / 0 GB60
...Sql Flash Attention 2 Dataeval0K / 1.9 GB343
...82 6142 45d8 9455 Bc68ca4866eb0K / 1.2 GB50
Text To Rule Mistral 20K / 0.3 GB60
...al 7B Instruct V0.3 17193012560K / 0.9 GB90
...10 2024 06 23 06 24 07 35586330K / 1.1 GB160
...al 7B Instruct V0.3 17192977500K / 0.4 GB60
Text To Rule Mistral0K / 0.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than frankmorales2020/Mistral-7B-v0.1_Emotion.

Rank the Mistral 7B V0.1 Emotion Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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