What is LFM-CiteAgent-2.6B-GGUF?
55/100
Trust Score (D)
⚠️ Use Caution
LFM-CiteAgent-2.6B-GGUF is a coding that An AI agent for coding tasks.. It has a Nerq Trust Score of 55/100 (D). 2 GitHub stars. Published by gyung. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 2 stars, 77 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
55
TRUST SCORE
D
GRADE
2
STARS
77
DOWNLOADS
What LFM-CiteAgent-2.6B-GGUF Does
LFM-CiteAgent-2.6B-GGUF is a agent in the coding category. An AI agent for coding tasks.. It is published by gyung and has no specified license. With 2 GitHub stars and 77 downloads, it has a small community of users and contributors.
Who Should Use LFM-CiteAgent-2.6B-GGUF
LFM-CiteAgent-2.6B-GGUF is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | gyung |
|---|---|
| Category | coding |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=lfm-citeagent-2-6b-gguf
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 75 | 181.9K |
| ollama | 74 | 163.0K |
| langchain | 86 | 127.8K |
| system-prompts-and-models-of-ai-tools | 74 | 115.3K |
| opencode | 88 | 108.1K |
Frequently Asked Questions
What is LFM-CiteAgent-2.6B-GGUF used for?
LFM-CiteAgent-2.6B-GGUF is a coding tool. An AI agent for coding tasks..
Is LFM-CiteAgent-2.6B-GGUF free?
License: Check project page. LFM-CiteAgent-2.6B-GGUF has 2 GitHub stars.
Is LFM-CiteAgent-2.6B-GGUF safe?
LFM-CiteAgent-2.6B-GGUF has a Nerq Trust Score of 55/100 (D). Use with caution.
What are alternatives to LFM-CiteAgent-2.6B-GGUF?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated April 2026. Trust scores based on automated analysis of public data.