sebot is an open-weight model from Precontation. It has 40,960-token context. Its published files total 5.0 GB.
i thought it would be funny to train an ai off of every single message by a random guy on discord and... yeah it was worth it thanks to Sebel"son"zejdhfe (aka sebelzahnziege) for sort of letting me steal his likeness - Qwen3-8B.Q4KM.gguf
Model Card
i thought it would be funny to train an ai off of every single message by a random guy on discord and... yeah it was worth it thanks to Sebel"son"zejdhfe (aka sebelzahnziege) for sort of letting me steal his likeness - Qwen3-8B.Q4KM.gguf
Excerpt from the card by Precontation.
Configuration
- Architecture
- Qwen3ForCausalLM
- Context length (tokens)
- 40,960
- Layers
- 36
- Hidden size
- 4,096
- Feed-forward size
- 12,288
- Attention heads
- 32
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,936
- Stored precision
- bfloat16
- Model type
- qwen3
Identity and Version
- Repository
- Precontation/sebot
- Publisher
- Precontation
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 647f1dc8b9f3bfe9684afdaab46048312870cde3
- First published
- 2026-09-24
- Last updated
- 2026-09-24
Files and Weights
4 files, 5.0 GB in total. The weights are 1 file totalling 5.0 GB in gguf.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| Qwen3-8B.Q4_K_M.gguf | Weights | 5.0 GB | 52071434202c |
| config.json | Configuration | 1.8 KB | — |
| README.md | Documentation | 501 B | — |
| .gitattributes | Repository | 1.6 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 5.0 GB
Released by Precontation through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 5.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About sebot
What is sebot's context length?
40,960 tokens, from the maximum position embeddings in its published configuration.