🧠
Model

Mistral Large Opus Q4 K M Gguf

by Electron Rare electron-rare/mistral-large-opus-q4_k_m-gguf
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 78
Q: Quality 50
Tech Context
4.096K Ctx
Vital Performance

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
4k Context
0 Downloads
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID electron-rare/mistral-large-opus-q4_k_m-gguf
License Other
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{electron_rare_mistral_large_opus_q4_k_m_gguf,
  author = {Electron Rare},
  title = {Mistral Large Opus Q4 K M Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/electron-rare/mistral-large-opus-Q4_K_M-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
Electron Rare. (2026). Mistral Large Opus Q4 K M Gguf [Model]. Free2AITools. https://huggingface.co/electron-rare/mistral-large-opus-Q4_K_M-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download electron-rare/mistral-large-opus-q4_k_m-gguf
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 78
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Mistral Large Opus Q4 K M Gguf: Authority (A:0), Popularity (P:0), Recency (R:78), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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.
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--electron-rare--mistral-large-opus-q4_k_m-gguf
slug
electron-rare--mistral-large-opus-q4_k_m-gguf
source
huggingface
author
Electron Rare
license
Other
tags
transformers, gguf, quantized, q4_k_m, llama-cpp, mistral, fine-tune, text-generation, en, fr, base_model:mistralai/mistral-large-instruct-2411, license:other, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

context length
4,096
pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.