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MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed   URL Share it on

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  1bit Base model:finetune:maziyarpan... Base model:maziyarpanahi/calme...   Custom code   Instruct   Phi3   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/MaziyarPanahi-Phi-3-mini-4k-instruct-v0.3-HQQ-1bit-smashed 

MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed Benchmarks

LLME Score: 0.16062
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed (PrunaAI/MaziyarPanahi-Phi-3-mini-4k-instruct-v0.3-HQQ-1bit-smashed)
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MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed Parameters and Internals

Model Type 
compressed
Use Cases 
Areas:
AI Model Compression
Applications:
Reducing resource usage in AI models
Primary Use Cases:
Improving AI model efficiency
Considerations:
Efficiency results may vary in other settings. It's recommended to test the model in specific use-case conditions.
Additional Notes 
This model uses safetensors format. First run metrics may vary due to CUDA overheads.
Training Details 
Methodology:
Compressed with hqq using WikiText as calibration data.
Input Output 
Performance Tips:
It's recommended to run efficiency tests directly in use-case scenarios to determine if the smashed model benefits your application.
LLM NameMaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/MaziyarPanahi-Phi-3-mini-4k-instruct-v0.3-HQQ-1bit-smashed 
Base Model(s)  MaziyarPanahi/Phi-3-mini-4k-instruct-v0.3   MaziyarPanahi/Phi-3-mini-4k-instruct-v0.3
Model Size4b
Required VRAM0.9 GB
Updated2025-09-13
MaintainerPrunaAI
Model Typephi3
Instruction-BasedYes
Model Files  0.9 GB
Quantization Type1bit
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

Best Alternatives to MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed

Best Alternatives
Context / RAM
Downloads
Likes
Ruphi 4B128K / 7.6 GB50
Calme 2.1 Phi3.5 4B128K / 7.7 GB224
Vanta Research Apollo V1 4B128K / 7.7 GB70
AURORAV0.3 4B128K / 7.7 GB253
Lunar 4B128K / 7.7 GB451
Phi3.5 Gutenberg 4B128K / 7.7 GB85
Calme 2.1 Phi3 4B4K / 7.7 GB111
Calme 2.3 Phi3 4B4K / 7.7 GB249
Calme 2.2 Phi3 4B4K / 7.7 GB162
Phi 3.5 Mini Hyper128K / 7.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/MaziyarPanahi-Phi-3-mini-4k-instruct-v0.3-HQQ-1bit-smashed.

Rank the MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed 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 v20241124
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