🧠

Model

Deepseek R1 Distill Qwen 32b Dashq Q2 Gguf

Name: Deepseek R1 Distill Qwen 32b Dashq Q2 Gguf
Author: jkim96

by jkim96 jkim96/deepseek-r1-distill-qwen-32b-dashq-q2-gguf

Free2AITools Nexus Index

39.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 0

R: Recency 99

Q: Quality 65

Tech Context

32 Params

4.096K Ctx

Vital Performance —

Source →

Task categories from upstream metadata

💬Chat & Dialogue

Technical Constraints

Experimental / High Latency

Low FNI signal 39 FNI Score

32B Params

4k Context

0 Downloads

H100+ ~27GB Est. VRAM

Commercial MIT License

Model Information Summary
Entity Passport
Registry ID	jkim96/deepseek-r1-distill-qwen-32b-dashq-q2-gguf
License	MIT
Provider	huggingface

💾

Compute Threshold

~26.5GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{jkim96_deepseek_r1_distill_qwen_32b_dashq_q2_gguf,
  author = {jkim96},
  title = {Deepseek R1 Distill Qwen 32b Dashq Q2 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jkim96/DeepSeek-R1-Distill-Qwen-32B-DASHQ-Q2-GGUF}},
  note = {Accessed via Free2AITools.}
}

APA Style

jkim96. (2026). Deepseek R1 Distill Qwen 32b Dashq Q2 Gguf [Model]. Free2AITools. https://huggingface.co/jkim96/DeepSeek-R1-Distill-Qwen-32B-DASHQ-Q2-GGUF

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run deepseek-r1-distill-qwen-32b-dashq-q2-gguf

🤗 HF Download

huggingface-cli download jkim96/deepseek-r1-distill-qwen-32b-dashq-q2-gguf

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 0

Recency (R) 99

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Deepseek R1 Distill Qwen 32b Dashq Q2 Gguf: Authority (A:0), 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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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.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--jkim96--deepseek-r1-distill-qwen-32b-dashq-q2-gguf
slug: jkim96--deepseek-r1-distill-qwen-32b-dashq-q2-gguf
source: huggingface
author: jkim96
license: MIT
tags: gguf, llama.cpp, dashq, quantized, text-generation, license:mit, endpoints_compatible, region:us, imatrix, conversational

⚙️ Technical Specs

params billions: 32
context length: 4,096
pipeline tag: text-generation
vram gb: 26.5
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 0

Data indexed from public sources. Updated daily.