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DECYPHERS PRIME 2.0 by Klevin

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DECYPHERS PRIME 2.0 is an open-source language model by Klevin. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Instruct   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Klevin/DECYPHERS-PRIME-2.0 

DECYPHERS PRIME 2.0 Benchmarks

LLME Score: 0.13507
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DECYPHERS PRIME 2.0 (Klevin/DECYPHERS-PRIME-2.0)
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DECYPHERS PRIME 2.0 Parameters and Internals

Model Type 
text-generation-inference, transformers
Training Details 
Methodology:
Trained 2x faster using Unsloth and Huggingface's TRL library
LLM NameDECYPHERS PRIME 2.0
Repository 🤗https://huggingface.co/Klevin/DECYPHERS-PRIME-2.0 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2026-05-01
MaintainerKlevin
Instruction-BasedYes
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|down_proj|q_proj|gate_proj|up_proj|o_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16

Best Alternatives to DECYPHERS PRIME 2.0

Best Alternatives
Context / RAM
Downloads
Likes
Torki Lora0K / 0 GB50
...a 3 8B Bnb 4bit Robot Instruct0K / 0.2 GB80
Llama 3 Instruct LiPPA LoRA 8B0K / 2.7 GB60
...lama 3 LimaRP Instruct LoRA 8B0K / 2.7 GB50
...uct Bnb Lora MedicalQnADataset0K / 0.3 GB01
Nextjs App V0.10K / 0.2 GB02
...lama 3.1 8B Roleplay BSNL Gguf0K / 4.9 GB75210
...ma 3.1 8B Roleplay Airtel Gguf0K / 4.9 GB2857
Llama 3.1 8B Roleplay Jio Gguf0K / 4.9 GB1395
Llama 3.1 8B Rp Tadashinu Gguf0K / 4.9 GB846
Note: green Score (e.g. "73.2") means that the model is better than Klevin/DECYPHERS-PRIME-2.0.

Rank the DECYPHERS PRIME 2.0 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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