🧠
Senryu 2 1b model by KerzgrAI
⭐ 46.3
🧠
Model

Senryu 2 1b

by KerzgrAI kerzgrai/senryu-2-1b
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 0
R: Recency 99
Q: Quality 65
Tech Context
1.09 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
Tiny 1.09B Params
4k Context
0 Downloads
8G GPU ~3GB Est. VRAM
Dense SENRYU2FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID kerzgrai/senryu-2-1b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{kerzgrai_senryu_2_1b,
  author = {KerzgrAI},
  title = {Senryu 2 1b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/KerzgrAI/Senryu-2-1B}},
  note = {Accessed via Free2AITools.}
}
APA Style
KerzgrAI. (2026). Senryu 2 1b [Model]. Free2AITools. https://huggingface.co/KerzgrAI/Senryu-2-1B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run senryu-2-1b
πŸ€— HF Download
huggingface-cli download kerzgrai/senryu-2-1b

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) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Senryu 2 1b: Authority (A:29), Popularity (P:0), Recency (R:99), 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.

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.
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--kerzgrai--senryu-2-1b
slug
kerzgrai--senryu-2-1b
source
huggingface
author
KerzgrAI
license
Apache-2.0
tags
tiny_gdn, safetensors, senryu2, text-generation, causal-lm, pytorch, sft, instruction-tuned, chat, reasoning, tool-use, hybrid, gated-deltanet-2, parallax-attention, n-gram-memory, engram, senryu, senryu-2, conversational, en, dataset:huggingfacetb/smoltalk2, dataset:huggingfacetb/smoltalk, dataset:nvidia/nemotron-cascade-2-sft-data, dataset:nvidia/nemotron-post-training-dataset-v1, dataset:nvidia/nemotron-agentic-v1, dataset:nvidia/nemotron-sft-agentic-v2, dataset:nvidia/openmathreasoning, data

βš™οΈ Technical Specs

architecture
Senryu2ForCausalLM
params billions
1.09
context length
4,096
pipeline tag
text-generation
vram gb
2.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.