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Qwen3.8 27b Basequant V1 model by basecompute
⭐ 46.3
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Model

Qwen3.8 27b Basequant V1

by basecompute basecompute/qwen3.8-27b-basequant-v1
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
27 Params
4.096K Ctx
Vital Performance
2 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
27B Params
4k Context
2 Downloads
24G GPU ~22GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID basecompute/qwen3.8-27b-basequant-v1
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{basecompute_qwen3_8_27b_basequant_v1,
  author = {basecompute},
  title = {Qwen3.8 27b Basequant V1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/basecompute/Qwen3.8-27B-BaseQuant-V1}},
  note = {Accessed via Free2AITools.}
}
APA Style
basecompute. (2026). Qwen3.8 27b Basequant V1 [Model]. Free2AITools. https://huggingface.co/basecompute/Qwen3.8-27B-BaseQuant-V1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.8-27b-basequant-v1
πŸ€— HF Download
huggingface-cli download basecompute/qwen3.8-27b-basequant-v1

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.8 27b Basequant V1: Authority (A:29), Popularity (P:0), Recency (R:100), 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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⚠️ Incomplete Data

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

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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.

Social Proof

HuggingFace Hub
2Downloads
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--basecompute--qwen3.8-27b-basequant-v1
slug
basecompute--qwen3.8-27b-basequant-v1
source
huggingface
author
basecompute
license
Apache-2.0
tags
gguf, basert, llama.cpp, quantized, text-generation, base_model:qwen/qwen3.8-27b, base_model:quantized:qwen/qwen3.8-27b, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
27
context length
4,096
pipeline tag
text-generation
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
2

Data indexed from public sources. Updated daily.