Byrne 86M is an open-source language model by Quazim0t0. Features: 86m LLM, VRAM: 0.4GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.29.
Custom code En Experimental Feature-extraction Jepa Mla Region:us Safetensors Small-models Spike whale
Model Card on HF 🤗: https://huggingface.co/Quazim0t0/Byrne-86M
Byrne 86M 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)
Byrne 86M Parameters and Internals
| LLM Name | Byrne 86M |
| Repository 🤗 | https://huggingface.co/Quazim0t0/Byrne-86M |
| Model Size | 86m |
| Required VRAM | 0.4 GB |
| Updated | 2026-07-06 |
| Maintainer | Quazim0t0 |
| Model Type | spike_whale |
| Model Files | |
| Supported Languages | en |
| Model Architecture | SpikeWhaleLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 5.8.0 |
| Tokenizer Class | SpikeTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 16512 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a