MNLP M3 Quantized Model is an open-source language model by AlirezaAbdollahpoor. Features: 382.8m LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.
4-bit Autotrain compatible Base model:alirezaabdollahpoor... Base model:quantized:alirezaab... Bitsandbytes Conversational En Endpoints compatible Qwen3 Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/AlirezaAbdollahpoor/MNLP_M3_quantized_model
MNLP M3 Quantized Model 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)
MNLP M3 Quantized Model Parameters and Internals
| LLM Name | MNLP M3 Quantized Model |
| Repository 🤗 | https://huggingface.co/AlirezaAbdollahpoor/MNLP_M3_quantized_model |
| Base Model(s) | |
| Model Size | 382.8m |
| Required VRAM | 0.5 GB |
| Updated | 2025-09-22 |
| Maintainer | AlirezaAbdollahpoor |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a