🧠
Deepseek Coder 33b Instruct Gguf model by kcaverly
⭐ 33
🧠
Model

Deepseek Coder 33b Instruct Gguf

by kcaverly replicate-model--kcaverly--deepseek-coder-33b-instruct-gguf
Nexus Index
33.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 56
R: Recency 18
Q: Quality 45
Tech Context
33 Params
4.096K Ctx
Vital Performance
3.3K DL / 30D
0.0%
Audited 33 FNI Score
33B Params
4k Context
3.3K Downloads
H100+ ~28GB Est. VRAM
Restricted CUSTOM License
Model Information Summary
Entity Passport
Registry ID replicate-model--kcaverly--deepseek-coder-33b-instruct-gguf
License custom
Provider replicate
💾

Compute Threshold

~27.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{replicate_model__kcaverly__deepseek_coder_33b_instruct_gguf,
  author = {kcaverly},
  title = {Deepseek Coder 33b Instruct Gguf Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/replicate-model--kcaverly--deepseek-coder-33b-instruct-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
kcaverly. (2026). Deepseek Coder 33b Instruct Gguf [Model]. Free2AITools. https://free2aitools.com/model/replicate-model--kcaverly--deepseek-coder-33b-instruct-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run deepseek-coder-33b-instruct-gguf

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
33.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 56
Recency (R) 18
Quality (Q) 45

đŸ’Ŧ Index Insight

FNI V2.0 for Deepseek Coder 33b Instruct Gguf: Semantic (S:50), Authority (A:0), Popularity (P:56), Recency (R:18), Quality (Q:45).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

A quantized 33B parameter language model from Deepseek for SOTA repository level code completion

⚠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.

📝 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
3.3KDownloads
⚡ Data Source: Replicate ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Replicate 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
replicate-model--kcaverly--deepseek-coder-33b-instruct-gguf
slug
kcaverly--deepseek-coder-33b-instruct-gguf
source
replicate
author
kcaverly
license
custom
tags
public

⚙ī¸ Technical Specs

architecture
null
params billions
33
context length
4,096
pipeline tag
vram gb
27.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
3,275
stars
0
forks
0

Data indexed from public sources. Updated daily.