🧠
Bonsai 1.7b Trnq model by Trillim
⭐ 38.5
🧠
Model

Bonsai 1.7b Trnq

by Trillim hf-model--trillim--bonsai-1.7b-trnq
Nexus Index
38.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 11
R: Recency 98
Q: Quality 50
Tech Context
1.7 Params
4.096K Ctx
Vital Performance
162 DL / 30D
0.0%
Source →
Audited 38.5 FNI Score
Tiny 1.7B Params
4k Context
162 Downloads
8G GPU ~3GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--trillim--bonsai-1.7b-trnq
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~2.6GB VRAM

Interactive
Analyze Hardware
▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__trillim__bonsai_1.7b_trnq,
  author = {Trillim},
  title = {Bonsai 1.7b Trnq Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/trillim/bonsai-1.7b-trnq}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Trillim. (2026). Bonsai 1.7b Trnq [Model]. Free2AITools. https://huggingface.co/trillim/bonsai-1.7b-trnq

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run
ollama run bonsai-1.7b-trnq
🤗 HF Download
huggingface-cli download trillim/bonsai-1.7b-trnq

⚖️ Nexus Index V2.0

Methodology Index Protocol
38.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 11
Recency (R) 98
Quality (Q) 50

💬 Index Insight

FNI V2.0 for Bonsai 1.7b Trnq: Semantic (S:50), Authority (A:0), Popularity (P:11), Recency (R:98), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

Bonsai-1.7B-TRNQ

Bonsai-1.7B-TRNQ is a Trillim-packaged, requantized build of prism-ml/Bonsai-1.7B-unpacked, intended for efficient text generation with the Trillim inference engine.

Overview

  • Based on Prism ML’s Bonsai-1.7B release
  • Requantized and packaged for Trillim runtime
  • Includes tokenizer, chat template, and Trillim-specific runtime artifacts
  • Distributed under the upstream Apache 2.0 license with attribution preserved

Model Details

Item Value
Architecture Qwen3-1.7B dense
Parameters 1.7B class
Source model prism-ml/Bonsai-1.7B-unpacked
Packaging Trillim requantized bundle
License Apache 2.0

Usage

bash 
pip install trillim
trillim pull Trillim/Bonsai-1.7B-TRNQ
trillim chat Trillim/Bonsai-1.7B-TRNQ

This launches an interactive CLI chat session.

Repository Contents

File Description
qmodel.tensors Quantized weights in Trillim format
rope.cache Precomputed RoPE cache for runtime
config.json Model configuration
generation_config.json Generation defaults
trillim_config.json Trillim runtime metadata
tokenizer.json Tokenizer data
tokenizer_config.json Tokenizer configuration
special_tokens_map.json Special token mapping
chat_template.jinja Chat template
vocab.json, merges.txt, added_tokens.json Tokenizer assets

Provenance

This repository is derived from:

Changes made by Trillim:

  • Requantized from the upstream release
  • Repackaged for the Trillim inference engine

This repository is not affiliated with or endorsed by Prism ML or Alibaba Cloud.

License

Released under the Apache 2.0 License, consistent with the upstream model license.

See:

  • LICENSE
  • NOTICE.txt

⚠️ 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 →

📝 Limitations & Considerations

  • • Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • • VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • • 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
162Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--trillim--bonsai-1.7b-trnq
slug
trillim--bonsai-1.7b-trnq
source
huggingface
author
Trillim
license
Apache-2.0
tags
qwen3, bonsai, trillim, quantized, custom-inference, text-generation, conversational, base_model:prism-ml/bonsai-1.7b-unpacked, base_model:finetune:prism-ml/bonsai-1.7b-unpacked, license:apache-2.0, region:us

⚙️ Technical Specs

architecture
null
params billions
1.7
context length
4,096
pipeline tag
text-generation
vram gb
2.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
162
stars
0
forks
0

Data indexed from public sources. Updated daily.