Hellfire 2B by FinancialSupport

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  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/g... Base model:unsloth/gemma-2b-it...   Bitsandbytes   Conversational   En   Endpoints compatible   Gemma   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth

Hellfire 2B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hellfire 2B (FinancialSupport/hellfire-2b)

Hellfire 2B Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
Trained 2x faster using Unsloth and HuggingFace's TRL library.
Supported Languages 
Italian (Advanced)
Input Output 
Input Format:
Alpaca prompt structure
Accepted Modalities:
text
Output Format:
Text-based answers
LLM NameHellfire 2B
Repository ๐Ÿค—https://huggingface.co/FinancialSupport/hellfire-2b 
Base Model(s)  Gemma 2B It Bnb 4bit   unsloth/gemma-2b-it-bnb-4bit
Model Size2b
Required VRAM0.3 GB
Updated2024-12-22
MaintainerFinancialSupport
Model Files  0.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length10000
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|o_proj|down_proj|up_proj|v_proj|gate_proj|q_proj
LoRA Alpha32
LoRA Dropout0.05
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than FinancialSupport/hellfire-2b.

Rank the Hellfire 2B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217