·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Startup Battlefield 200 applications officially close in 3 days2h◆Google will pay SpaceX $920M per month for compute3h◆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 20268h◆This AI startup says it can tell if a script will make a hit film8h◆AirTrunk commits $30B to build 5GW of AI data centers in India9h◆The Meta hack shows there’s more to AI security than Mythos13h◆Mira Murati steps back into the spotlight, carefully17h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning18h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning18h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models18h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents18h◆Why Muon Outperforms Adam: A Curvature Perspective18h◆Vision Hopfield Memory Networks18h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies18h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment18h◆Startup Battlefield 200 applications officially close in 3 days2h◆Google will pay SpaceX $920M per month for compute3h◆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 20268h◆This AI startup says it can tell if a script will make a hit film8h◆AirTrunk commits $30B to build 5GW of AI data centers in India9h◆The Meta hack shows there’s more to AI security than Mythos13h◆Mira Murati steps back into the spotlight, carefully17h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning18h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning18h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models18h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents18h◆Why Muon Outperforms Adam: A Curvature Perspective18h◆Vision Hopfield Memory Networks18h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies18h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment18h◆
DataBubble·

Model Detail

microsoft logo

bitnet-b1.58-2B-4T

—
Provider: MicrosoftCategory: codePipeline: text-generationParameters: 2B
DB Score
2.1
Downloads
18K
Likes
1K
Day
+0.0%
Week
+0.0%
Month
-2.4%
Overview

bitnet-b1.58-2B-4T is a code generation model with 2B parameters released by Microsoft. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive mit license.

Technical

bitnet-b1.58-2B-4T ships with 2B parameters. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of bitnet-b1.58-2B-4T have moved -2.4% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

bitnet-b1.58-2B-4T is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. 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
Research Paper
arXiv: 2504.12285→
Model Info
Licensemit
Citations30 (7 influential)
Recent newsView all news →
Related News
arxiv67d ago

MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training

arXiv:2603.25813v1 Announce Type: cross Abstract: We present MAGNET (Model Autonomously Growing Network), a decentralized system for autonomous generation, training, and serving of domain-expert language models across commodity hardware. MAGNET integrates four components: (1) autoresearch, an autono

Related Models
microsoft logo
Phi-4-mini-instruct
Microsoft · 1.5M downloads
microsoft logo
Florence-2-large
Microsoft · 1.2M downloads
sentence-transformers logo
all-MiniLM-L6-v2
SBERT · 254.9M downloads
nomic-ai logo
nomic-embed-text-v1.5
nomic-ai · 17.1M downloads
HomeModelsNews