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Nextjs App V0.1 by ebowwa

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  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth

Nextjs App V0.1 Benchmarks

LLME Score: 0.20404
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nextjs App V0.1 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
This model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameNextjs App V0.1
Repository 🤗https://huggingface.co/ebowwa/nextjs-app-v0.1 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2024-11-21
Maintainerebowwa
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|q_proj|down_proj|k_proj|gate_proj|o_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16
Nextjs App V0.1 (ebowwa/nextjs-app-v0.1)

Best Alternatives to Nextjs App V0.1

Best Alternatives
Context / RAM
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Likes
...lama 3 LimaRP Instruct LoRA 8B0K / 2.7 GB500
Llama 3 Instruct LiPPA LoRA 8B0K / 2.7 GB170
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DECYPHERS PRIME 2.00K / 0.2 GB01
...uct Bnb Lora MedicalQnADataset0K / 0.3 GB01
Meta Llama 3 8B Instruct GGUF0K / 2 GB196714677
...ma 3 8B Instruct 32K V0.1 GGUF0K / 2 GB196249256
Llama 3 8B Instruct V0.10 GGUF0K / 2 GB18401232
Llama 3 8B Instruct V0.9 GGUF0K / 2 GB18326732
Llama 3 8B Instruct 64K GGUF0K / 3.2 GB183207012
Note: green Score (e.g. "73.2") means that the model is better than ebowwa/nextjs-app-v0.1.

Rank the Nextjs App V0.1 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  
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 v20241110
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