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Qwen3.5 0.8b Mtp Repro Litert model by mlboydaisuke
⭐ 39.1
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Model

Qwen3.5 0.8b Mtp Repro Litert

by mlboydaisuke mlboydaisuke/qwen3.5-0.8b-mtp-repro-litert
Free2AITools Nexus Index
39.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 9
R: Recency 100
Q: Quality 65
Tech Context
0.8B Params
4.096K Ctx
Vital Performance
115 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.1 FNI Score
Tiny 0.8B Params
4k Context
115 Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mlboydaisuke/qwen3.5-0.8b-mtp-repro-litert
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mlboydaisuke_qwen3_5_0_8b_mtp_repro_litert,
  author = {mlboydaisuke},
  title = {Qwen3.5 0.8b Mtp Repro Litert Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mlboydaisuke/Qwen3.5-0.8B-MTP-repro-LiteRT}},
  note = {Accessed via Free2AITools.}
}
APA Style
mlboydaisuke. (2026). Qwen3.5 0.8b Mtp Repro Litert [Model]. Free2AITools. https://huggingface.co/mlboydaisuke/Qwen3.5-0.8B-MTP-repro-LiteRT

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3.5-0.8b-mtp-repro-litert
πŸ€— HF Download
huggingface-cli download mlboydaisuke/qwen3.5-0.8b-mtp-repro-litert

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) 9
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3.5 0.8b Mtp Repro Litert: Authority (A:0), Popularity (P:9), Recency (R:100), 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.

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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
115Downloads
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--mlboydaisuke--qwen3.5-0.8b-mtp-repro-litert
slug
mlboydaisuke--qwen3.5-0.8b-mtp-repro-litert
source
huggingface
author
mlboydaisuke
license
Apache-2.0
tags
litert-lm, litert, litertlm, on-device, edge, speculative-decoding, mtp, hybrid, gated-deltanet, qwen3_5, text-generation, base_model:qwen/qwen3.5-0.8b, base_model:quantized:qwen/qwen3.5-0.8b, license:apache-2.0, region:us

βš™οΈ Technical Specs

params billions
0.8
context length
4,096
pipeline tag
text-generation
vram gb
1.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
115

Data indexed from public sources. Updated daily.