·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Startup Battlefield 200 applications officially close in 3 days1h◆Google will pay SpaceX $920M per month for compute2h◆The most interesting startups right now want to get you off your phone4h◆This is your laptop… on AI5h◆New York lawmakers pass one-year ban on new data centers6h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs7h◆The latest AI news we announced in May 20267h◆The ‘together tech’ wave might be the most intriguing startup bet of 20267h◆This AI startup says it can tell if a script will make a hit film7h◆AirTrunk commits $30B to build 5GW of AI data centers in India8h◆The Meta hack shows there’s more to AI security than Mythos12h◆Mira Murati steps back into the spotlight, carefully16h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning17h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning17h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models17h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents17h◆Why Muon Outperforms Adam: A Curvature Perspective17h◆Vision Hopfield Memory Networks17h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies17h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment17h◆Startup Battlefield 200 applications officially close in 3 days1h◆Google will pay SpaceX $920M per month for compute2h◆The most interesting startups right now want to get you off your phone4h◆This is your laptop… on AI5h◆New York lawmakers pass one-year ban on new data centers6h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs7h◆The latest AI news we announced in May 20267h◆The ‘together tech’ wave might be the most intriguing startup bet of 20267h◆This AI startup says it can tell if a script will make a hit film7h◆AirTrunk commits $30B to build 5GW of AI data centers in India8h◆The Meta hack shows there’s more to AI security than Mythos12h◆Mira Murati steps back into the spotlight, carefully16h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning17h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning17h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models17h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents17h◆Why Muon Outperforms Adam: A Curvature Perspective17h◆Vision Hopfield Memory Networks17h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies17h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment17h◆
DataBubble·

Model Detail

prism-ml logo

Bonsai-1.7B-gguf

—
Provider: prism-mlCategory: llmPipeline: text-generationParameters: 1.7B
DB Score
1.4
Downloads
22K
Likes
65
Day
+0.0%
Week
+0.0%
Month
+0.0%
Overview

Bonsai-1.7B-gguf is a large language model with 1.7B parameters released by prism-ml. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

Bonsai-1.7B-gguf ships with 1.7B parameters, distributed as a quantized weight variant for lower-VRAM inference. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Use Cases

Bonsai-1.7B-gguf is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Model Info
Licenseapache-2.0
Recent newsView all news →
Related News
arxiv23d ago

BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability

arXiv:2602.07144v2 Announce Type: replace-cross Abstract: Bayesian optimization (BO) is a popular technique for sample-efficient optimization of black-box functions. In many applications, the parameters being tuned come with a carefully engineered default configuration, and practitioners only want t

Related Models
prism-ml logo
Bonsai-8B-gguf
prism-ml · 62K downloads
prism-ml logo
Ternary-Bonsai-8B-gguf
prism-ml · 16K downloads
google-bert logo
bert-base-uncased
google-bert · 69.6M downloads
sentence-transformers logo
paraphrase-multilingual-MiniLM-L12-v2
SBERT · 50.3M downloads
HomeModelsNews