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Olmo 3.1 32b Instruct Dashq Q2 Gguf model by jkim96
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Model

Olmo 3.1 32b Instruct Dashq Q2 Gguf

by jkim96 jkim96/olmo-3.1-32b-instruct-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 100
Q: Quality 65
Tech Context
32 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
32B Params
4k Context
0 Downloads
H100+ ~27GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID jkim96/olmo-3.1-32b-instruct-dashq-q2-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~26.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jkim96_olmo_3_1_32b_instruct_dashq_q2_gguf,
  author = {jkim96},
  title = {Olmo 3.1 32b Instruct Dashq Q2 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jkim96/Olmo-3.1-32B-Instruct-DASHQ-Q2-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
jkim96. (2026). Olmo 3.1 32b Instruct Dashq Q2 Gguf [Model]. Free2AITools. https://huggingface.co/jkim96/Olmo-3.1-32B-Instruct-DASHQ-Q2-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run olmo-3.1-32b-instruct-dashq-q2-gguf
πŸ€— HF Download
huggingface-cli download jkim96/olmo-3.1-32b-instruct-dashq-q2-gguf

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) 0
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Olmo 3.1 32b Instruct Dashq Q2 Gguf: Authority (A:0), Popularity (P:0), 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.

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--jkim96--olmo-3.1-32b-instruct-dashq-q2-gguf
slug
jkim96--olmo-3.1-32b-instruct-dashq-q2-gguf
source
huggingface
author
jkim96
license
Apache-2.0
tags
gguf, llama.cpp, dashq, quantized, text-generation, base_model:allenai/olmo-3.1-32b-instruct, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational

βš™οΈ Technical Specs

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

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.