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Rwkv7 1.5b 20260805 model by aabbdev
⭐ 41.5
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Model

Rwkv7 1.5b 20260805

by aabbdev aabbdev/rwkv7-1.5b-20260805
Free2AITools Nexus Index
41.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 17
R: Recency 91
Q: Quality 65
Tech Context
1.53 Params
4.096K Ctx
Vital Performance
336 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 41.5 FNI Score
Tiny 1.53B Params
4k Context
336 Downloads
8G GPU ~3GB Est. VRAM
Dense RWKV7FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID aabbdev/rwkv7-1.5b-20260805
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{aabbdev_rwkv7_1_5b_20260805,
  author = {aabbdev},
  title = {Rwkv7 1.5b 20260805 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/aabbdev/RWKV7-1.5B-20260805}},
  note = {Accessed via Free2AITools.}
}
APA Style
aabbdev. (2026). Rwkv7 1.5b 20260805 [Model]. Free2AITools. https://huggingface.co/aabbdev/RWKV7-1.5B-20260805

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run rwkv7-1.5b-20260805
πŸ€— HF Download
huggingface-cli download aabbdev/rwkv7-1.5b-20260805
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 17
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Rwkv7 1.5b 20260805: Authority (A:0), Popularity (P:17), Recency (R:91), 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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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.

Social Proof

HuggingFace Hub
336Downloads
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--aabbdev--rwkv7-1.5b-20260805
slug
aabbdev--rwkv7-1.5b-20260805
source
huggingface
author
aabbdev
license
Apache-2.0
tags
transformers, safetensors, rwkv7, text-generation, rwkv, recurrent, causal-lm, conversational, custom_code, en, zh, fr, es, de, pt, ru, it, ja, ko, vi, ar, dataset:huggingfacefw/fineweb-edu, dataset:mlfoundations/dclm-baseline-1.0, dataset:cerebras/slimpajama-627b, dataset:eleutherai/pile, dataset:bigcode/starcoderdata, dataset:oscar-corpus/oscar-2301, arxiv:2503.14456, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
Rwkv7ForCausalLM
params billions
1.53
context length
4,096
pipeline tag
text-generation
vram gb
2.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
336

Data indexed from public sources. Updated daily.