Quark 50M Instruct is an open-source language model by OvercastLab. Features: 50m LLM, VRAM: 0.1GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.35.
50m Code Conversational Dataset:huggingfacetb/smollm-c... En Gqa Instruct Llama Pytorch Region:us Rmsnorm Safetensors Smol Swiglu
Model Card on HF 🤗: https://huggingface.co/OvercastLab/Quark-50m-Instruct
Quark 50M Instruct 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)
Quark 50M Instruct Parameters and Internals
| LLM Name | Quark 50M Instruct |
| Repository 🤗 | https://huggingface.co/OvercastLab/Quark-50m-Instruct |
| Model Size | 50m |
| Required VRAM | 0.1 GB |
| Updated | 2026-04-24 |
| Maintainer | OvercastLab |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en code |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 5.6.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 49152 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a