🧠
Qwen3.5 0.8b Sft Claude Reasoning Gguf model by ermiaazarkhalili
⭐ 37.9
🧠
Model

Qwen3.5 0.8b Sft Claude Reasoning Gguf

by ermiaazarkhalili hf-model--ermiaazarkhalili--qwen3.5-0.8b-sft-claude-reasoning-gguf
Nexus Index
37.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 11
R: Recency 98
Q: Quality 50
Tech Context
0.8B Params
4.096K Ctx
Vital Performance
157 DL / 30D
0.0%
Source →
Audited 37.9 FNI Score
Tiny 0.8B Params
4k Context
157 Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--ermiaazarkhalili--qwen3.5-0.8b-sft-claude-reasoning-gguf
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~1.9GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__ermiaazarkhalili__qwen3.5_0.8b_sft_claude_reasoning_gguf,
  author = {ermiaazarkhalili},
  title = {Qwen3.5 0.8b Sft Claude Reasoning Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ermiaazarkhalili/qwen3.5-0.8b-sft-claude-reasoning-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ermiaazarkhalili. (2026). Qwen3.5 0.8b Sft Claude Reasoning Gguf [Model]. Free2AITools. https://huggingface.co/ermiaazarkhalili/qwen3.5-0.8b-sft-claude-reasoning-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3.5-0.8b-sft-claude-reasoning-gguf
🤗 HF Download
huggingface-cli download ermiaazarkhalili/qwen3.5-0.8b-sft-claude-reasoning-gguf

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 11
Recency (R) 98
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.5 0.8b Sft Claude Reasoning Gguf: Semantic (S:50), Authority (A:0), Popularity (P:11), Recency (R:98), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

Qwen3.5-0.8B-SFT-Claude-Reasoning — GGUF

GGUF quantized versions of Qwen3.5-0.8B-SFT-Claude-Reasoning for use with llama.cpp, Ollama, LM Studio, and other GGUF-compatible tools.

Available Quantizations

File Quantization Size Description
Qwen3.5-0.8B-SFT-Claude-Reasoning-Q2_K.gguf Q2_K ~395 MB Smallest, for edge/mobile
Qwen3.5-0.8B-SFT-Claude-Reasoning-Q3_K_M.gguf Q3_K_M ~418 MB Small, good for constrained envs
Qwen3.5-0.8B-SFT-Claude-Reasoning-Q4_K_M.gguf Q4_K_M ~482 MB Recommended — best quality/size
Qwen3.5-0.8B-SFT-Claude-Reasoning-Q5_K_M.gguf Q5_K_M ~530 MB Higher quality
Qwen3.5-0.8B-SFT-Claude-Reasoning-Q6_K.gguf Q6_K ~578 MB Near-lossless
Qwen3.5-0.8B-SFT-Claude-Reasoning-Q8_0.gguf Q8_0 ~754 MB Maximum quality

Usage

Ollama

bash 
ollama pull hf.co/ermiaazarkhalili/Qwen3.5-0.8B-SFT-Claude-Reasoning-GGUF:Q4_K_M
ollama run hf.co/ermiaazarkhalili/Qwen3.5-0.8B-SFT-Claude-Reasoning-GGUF:Q4_K_M "Explain step by step how to solve 2x + 5 = 13."

llama.cpp

bash 
llama-cli -m Qwen3.5-0.8B-SFT-Claude-Reasoning-Q4_K_M.gguf -p "Your prompt" -n 256

LM Studio

Download any GGUF file above and load it in LM Studio.

Source Model

Citation

bibtex 
@misc{azarkhalili2026qwen35_08b_sft_claude_reasoning,
    author = {Azarkhalili, Behrooz},
    title = {Qwen3.5-0.8B-SFT-Claude-Reasoning: Fine-tuned Qwen3.5-0.8B for Reasoning Distillation},
    year = {2026},
    publisher = {Hugging Face},
    url = {https://huggingface.co/ermiaazarkhalili/Qwen3.5-0.8B-SFT-Claude-Reasoning-GGUF}
}

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
157Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--ermiaazarkhalili--qwen3.5-0.8b-sft-claude-reasoning-gguf
slug
ermiaazarkhalili--qwen3.5-0.8b-sft-claude-reasoning-gguf
source
huggingface
author
ermiaazarkhalili
license
Apache-2.0
tags
gguf, quantized, llama-cpp, ollama, sft, reasoning, text-generation, en, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
157
stars
0
forks
0

Data indexed from public sources. Updated daily.