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Odysseus Qwen2.5 Coder 7b Q4 K M Gguf model by elias2515
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Model

Odysseus Qwen2.5 Coder 7b Q4 K M Gguf

by elias2515 elias2515/odysseus-qwen2.5-coder-7b-q4_k_m-gguf
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 85
Q: Quality 65
Tech Context
7 Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
7B Params
32k Context
0 Downloads
8G GPU ~8GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID elias2515/odysseus-qwen2.5-coder-7b-q4_k_m-gguf
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elias2515_odysseus_qwen2_5_coder_7b_q4_k_m_gguf,
  author = {elias2515},
  title = {Odysseus Qwen2.5 Coder 7b Q4 K M Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elias2515/odysseus-Qwen2.5-Coder-7B-Q4_K_M-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
elias2515. (2026). Odysseus Qwen2.5 Coder 7b Q4 K M Gguf [Model]. Free2AITools. https://huggingface.co/elias2515/odysseus-Qwen2.5-Coder-7B-Q4_K_M-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run odysseus-qwen2.5-coder-7b-q4_k_m-gguf
πŸ€— HF Download
huggingface-cli download elias2515/odysseus-qwen2.5-coder-7b-q4_k_m-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) 85
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Odysseus Qwen2.5 Coder 7b Q4 K M Gguf: Authority (A:0), Popularity (P:0), Recency (R:85), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
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--elias2515--odysseus-qwen2.5-coder-7b-q4_k_m-gguf
slug
elias2515--odysseus-qwen2.5-coder-7b-q4_k_m-gguf
source
huggingface
author
elias2515
tags
gguf, qwen2, llama.cpp, unsloth, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
7
context length
32,768
vram gb
7.8
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.