MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed is an open-source language model by PrunaAI. Features: 4b LLM, VRAM: 0.9GB, Context: 4K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.
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
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed Parameters and Internals
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| LLM Name | MaziyarPanahi 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) | |
| Model Size | 4b |
| Required VRAM | 0.9 GB |
| Updated | 2025-09-13 |
| Maintainer | PrunaAI |
| Model Type | phi3 |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 1bit |
| Model Architecture | Phi3ForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
Best Alternatives to MaziyarPanahi Phi 3 Mini 4K Instruct V0.3 HQQ 1bit Smashed
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ruphi 4B | 128K / 7.6 GB | 6 | 0 |
| Calme 2.1 Phi3.5 4B | 128K / 7.7 GB | 56 | 4 |
| Vanta Research Apollo V1 4B | 128K / 7.7 GB | 7 | 0 |
| AURORAV0.3 4B | 128K / 7.7 GB | 25 | 3 |
| Lunar 4B | 128K / 7.7 GB | 17 | 1 |
| Phi3.5 Gutenberg 4B | 128K / 7.7 GB | 16 | 4 |
| Calme 2.3 Phi3 4B | 4K / 7.7 GB | 237 | 9 |
| Calme 2.1 Phi3 4B | 4K / 7.7 GB | 46 | 1 |
| Calme 2.2 Phi3 4B | 4K / 7.7 GB | 28 | 3 |
| Phi 3.5 Mini Hyper | 128K / 7.7 GB | 5 | 0 |
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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Release v20260328a