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GGUF Model VRAM Calculator
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Calculate VRAM requirements for LLM models
David Belton PRO
DavidAU
AI & ML interests
Application(s) of single/multiple LLMs in specialized use cases & automation tasks. LLM, Prompt , System Role and Parameter engineering VIA chat / API. 500+ LLMs graded.
Recent Activity
replied to their post about 3 hours ago
21 Qwen 3.5 Fine Tunes (thinking and instruct) ; reg and uncensored (2B to 27B) exceed benchmarks, and work better than org models.
All are bench marked against org model.
Many exceed all benchmarks of org model.
Claude, GLM, Gemini and other distills.
Thinking AND dedicated Instruct versions.
Core goal: Increase benchmarks, and address long thinking blocks.
Highlights:
9B and 27B instruct "Claude" versions hit 624 and 675 on the "ARC-C" (hard challenge).
Thinking fine tunes exceed org model performance (in thinking mode).
In many cases there is a drastic reduction in thinking block size.
9B Claude Heretic Uncensored, GGUF :
-Neo, Code Imatrix (duel imatrix)
- Updated Jinja template
- Custom tensor enhancements.
https://huggingface.co/DavidAU/Qwen3.5-9B-Claude-4.6-OS-Auto-Variable-HERETIC-UNCENSORED-THINKING-MAX-NEOCODE-Imatrix-GGUF
COLLECTION [21 models]:
https://huggingface.co/collections/DavidAU/qwen-35-08-2-4-9-27-35b-regular-uncensored
new activity
about 3 hours ago
DavidAU/Qwen3.5-9B-Claude-4.6-OS-HERETIC-UNCENSORED-INSTRUCT:GGUF pls? updated
a model about 3 hours ago
DavidAU/Qwen3.5-21B-Claude-4.6-Opus-Thinking-EXP2 Organizations
