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Cuscuz 7B by rhaymison

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:rhaymison/questions an...   Endpoints compatible   Instruct   Lora   Mistral   Portuguese   Pt   Region:us   Safetensors   Sharded   Tensorflow   Version:0.1

Cuscuz 7B Benchmarks

LLME Score: 0.19257
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Cuscuz 7B Parameters and Internals

LLM NameCuscuz 7B
Repository 🤗https://huggingface.co/rhaymison/cuscuz-7b 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
Maintainerrhaymison
Instruction-BasedYes
Model Files  0.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagespt
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|gate_proj|k_proj|o_proj|q_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16
Cuscuz 7B (rhaymison/cuscuz-7b)

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Note: green Score (e.g. "73.2") means that the model is better than rhaymison/cuscuz-7b.

Rank the Cuscuz 7B 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 v2024072803
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