Lolol857/Gooning-triad-mtp-GGUF overview
Merged 9B Linear 60/25/15 + MTP GGUF GGUF quantized versions of Lolol857/merged 9b linear 60 25 15 mtp https://huggingface.co/Lolol857/merged 9b linear 60 25 1…
Runs locally from ~5.38 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
Model README
---
tags:
- gguf
- quantized
- mtp
- qwen3.5
base_model: Lolol857/merged-9b-linear-60-25-15-mtp
license: apache-2.0
language:
- en
---
Merged 9B Linear 60/25/15 + MTP (GGUF)
GGUF quantized versions of Lolol857/merged-9b-linear-60-25-15-mtp.
Original merge composition
- 60%
empero-ai/Qwythos-9B-v2(reasoning + chat) - 25%
kai-os/Carnice-9b(agentic) - 15%
allenai/tmax-9B(agentic)
All three are Qwen3.5-9B fine-tunes, linearly merged. The MTP head was copied
from empero-ai/Qwythos-9B-v2 (the only source that had MTP tensors).
Details
Slightly wrong in the head, but usable. engineered for better agentic capability.
No benchmarks yet.
Available quantizations
| File | Format | Size | Notes |
|------|--------|------|-------|
| merged-9b-mtp.Q4_K_M.gguf | Q4_K_M | ~5.5 GB | Most popular, good balance |
| merged-9b-mtp.Q5_K_M.gguf | Q5_K_M | ~6.5 GB | Higher quality |
| merged-9b-mtp.Q8_0.gguf | Q8_0 | ~9.5 GB | Near-lossless |
Usage with llama.cpp
llama-server -m merged-9b-mtp.Q4_K_M.gguf -c 8192 --port 8080
Usage with Ollama (can't think right)
Create a Modelfile:
FROM ./merged-9b-mtp.Q4_K_M.gguf
Then: ollama create merged-9b-mtp -f Modelfile
Disclaimer
This is an automated merge + MTP attachment. Quality depends on the
compatibility of source weight spaces. Evaluate on your task before deployment.
Run Lolol857/Gooning-triad-mtp-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models