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Qwen3.6 27b Mtp Pi Reasoning Gguf model by bytkim
⭐ 58
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Model

Qwen3.6 27b Mtp Pi Reasoning Gguf

by bytkim bytkim/qwen3.6-27b-mtp-pi-reasoning-gguf
Free2AITools Nexus Index
58.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51
P: Popularity 47
R: Recency 92
Q: Quality 65
Tech Context
27 Params
4.096K Ctx
Vital Performance
16.2K DL / 30D
Source β†’
Low FNI signal 58 FNI Score
27B Params
4k Context
16.2K Downloads
24G GPU ~22GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID bytkim/qwen3.6-27b-mtp-pi-reasoning-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~21.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{bytkim_qwen3_6_27b_mtp_pi_reasoning_gguf,
  author = {bytkim},
  title = {Qwen3.6 27b Mtp Pi Reasoning Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/bytkim/Qwen3.6-27B-MTP-pi-reasoning-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
bytkim. (2026). Qwen3.6 27b Mtp Pi Reasoning Gguf [Model]. Free2AITools. https://huggingface.co/bytkim/Qwen3.6-27B-MTP-pi-reasoning-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.6-27b-mtp-pi-reasoning-gguf
πŸ€— HF Download
huggingface-cli download bytkim/qwen3.6-27b-mtp-pi-reasoning-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51
Popularity (P) 47
Recency (R) 92
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.6 27b Mtp Pi Reasoning Gguf: Authority (A:51), Popularity (P:47), Recency (R:92), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
16.2KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--bytkim--qwen3.6-27b-mtp-pi-reasoning-gguf
slug
bytkim--qwen3.6-27b-mtp-pi-reasoning-gguf
source
huggingface
author
bytkim
license
Apache-2.0
tags
gguf, llama.cpp, qwen, qwen3_6, mtp, multi-token-prediction, speculative-decoding, conversational, image-text-to-text, image-to-text, multimodal, vision, vision-language, vlm, image, text-generation-inference, reasoning, thinking, reasoning-trained, agent, coder, devops, tool-use, function-calling, long-context, pi, qlora, sft, base_model:qwen/qwen3.6-27b, base_model:finetune:qwen/qwen3.6-27b, license:apache-2.0, model-index, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
null
params billions
27
context length
4,096
pipeline tag
image-text-to-text
vram gb
21.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
16,185
stars
null
forks
null

Data indexed from public sources. Updated daily.