QED B1 Instruction V1 is an open-source language model by Qarvexium. Features: 300m LLM, VRAM: 1GB, License: mit, Instruction-Based, LLM Explorer Score: 0.28.
300m-parameters Base model:finetune:qarvexium/... Base model:qarvexium/qed-base-... Decoder-only En Instruct Instruction-tuned Language-model Pytorch Qed Qed-b1-instruction-v1 Region:us Research Rmsnorm Rope Sentencepiece Swiglu
Model Card on HF 🤗: https://huggingface.co/Qarvexium/QED-B1-Instruction-v1
QED B1 Instruction V1 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)
QED B1 Instruction V1 Parameters and Internals
| LLM Name | QED B1 Instruction V1 |
| Repository 🤗 | https://huggingface.co/Qarvexium/QED-B1-Instruction-v1 |
| Base Model(s) | |
| Model Size | 300m |
| Required VRAM | 1 GB |
| Updated | 2026-07-27 |
| Maintainer | Qarvexium |
| Model Type | qed |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| License | mit |
| Vocabulary Size | 96000 |
Rank the QED B1 Instruction V1 Capabilities
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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a