🧠
Bonsai 27b Mlx 1bit model by Prism Ml
⭐ 59.8
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Model

Bonsai 27b Mlx 1bit

by Prism Ml prism-ml/bonsai-27b-mlx-1bit
Free2AITools Nexus Index
59.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 70
R: Recency 94
Q: Quality 65
Tech Context
1.72 Params
32.768K Ctx
Vital Performance
1.4M DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 59.8 FNI Score
Tiny 1.72B Params
32k Context
Hot 1.4M Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID prism-ml/bonsai-27b-mlx-1bit
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{prism_ml_bonsai_27b_mlx_1bit,
  author = {Prism Ml},
  title = {Bonsai 27b Mlx 1bit Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/prism-ml/Bonsai-27B-mlx-1bit}},
  note = {Accessed via Free2AITools.}
}
APA Style
Prism Ml. (2026). Bonsai 27b Mlx 1bit [Model]. Free2AITools. https://huggingface.co/prism-ml/Bonsai-27B-mlx-1bit

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run bonsai-27b-mlx-1bit
πŸ€— HF Download
huggingface-cli download prism-ml/bonsai-27b-mlx-1bit

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 55
Popularity (P) 70
Recency (R) 94
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Bonsai 27b Mlx 1bit: Authority (A:55), Popularity (P:70), Recency (R:94), 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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πŸš€ What's Next?

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Deployment reference

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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
1.4MDownloads
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--prism-ml--bonsai-27b-mlx-1bit
slug
prism-ml--bonsai-27b-mlx-1bit
source
huggingface
author
Prism Ml
license
Apache-2.0
tags
mlx, safetensors, qwen3_5, conversational, 1-bit, cuda, metal, on-device, hybrid-attention, prismml, bonsai, text-generation, base_model:qwen/qwen3.6-27b, base_model:finetune:qwen/qwen3.6-27b, license:apache-2.0, region:us, qwen

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
1.72
context length
32,768
pipeline tag
text-generation
vram gb
3.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,396,949
stars
null
forks
null

Data indexed from public sources. Updated daily.