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debil-1.5-GGUF
RaspizdAI/debil-1.5-GGUF
debil-1.5-GGUF is a machine learning model from RaspizdAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
debil-1.5 in GGUF format, available in multiple quantization levels.
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276 MB
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.gguf276 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026
- SHA
- 3ad903e9
Model card
From the Hugging Face model README
🚀 debil-1.5 GGUF
debil-1.5 in GGUF format, available in multiple quantization levels.
Technical Specifications:
- Total Parameters: 46,538,400 (~46.5M)
- Vocabulary Size: 50,257
- Embedding Dimensions: 480
- Hidden Layers: 8
- Attention Heads: 8
- Head Dimension: 60
- Format: GGUF
Available Quantizations:
| Quantization | File |
|---|---|
| FP16 | debil-1.5-fp16.gguf |
| Q8_0 | debil-1.5-Q8_0.gguf |
| Q4_K_M | debil-1.5-Q4_K_M.gguf |
| IQ2_XXS | debil-1.5-IQ2_XXS.gguf |
| IQ1_S | debil-1.5-IQ1_S.gguf |
Quantization Details:
- FP16 — unquantized version with FP16 weights.
- Q8_0 — 8-bit quantization with minimal quality loss.
- Q4_K_M — 4-bit K-quants offering a good size/quality balance.
- IQ2_XXS — ultra-low-bit importance quantization.
- IQ1_S — extremely aggressive 1-bit-class quantization for minimal file size.
- License
- mit
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026