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vedic-qwen2.5-14b-GGUF

by GnanaSreekar gnanasreekar/vedic-qwen2.5-14b-GGUF

vedic-qwen2.5-14b-GGUF is an open-weight model from GnanaSreekar, released under Apache License 2.0. Its published files total 9.0 GB.

A fine-tuned model of Qwen/Qwen2.5-14B-Instruct specialized in classical Vedic Astrology (Jyotish), trained on over 8,700 synthesized question-answer pairs and chart application examples derived from classical Sanskrit texts: Brihat Parashara Hora Sastra…

Parameters—
Context—
Weights9.0 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By GnanaSreekar, published under apache-2.0, revision 5dab5ccb3cf3.

A fine-tuned model of Qwen/Qwen2.5-14B-Instruct specialized in classical Vedic Astrology (Jyotish), trained on over 8,700 synthesized question-answer pairs and chart application examples derived from classical Sanskrit texts: Brihat Parashara Hora Sastra (BPHS) Mantreswara's Phaladeepika Bhrigu Nandi Nadi Classical varga, avastha, shadbala, and dasha frameworks. Run directly on your local machine using Ollama: Or download the.gguf file directly and use with llama.cpp

Read GnanaSreekar's full model card

Vedic Astrology Qwen 2.5 14B (GGUF)

A fine-tuned model of Qwen/Qwen2.5-14B-Instruct specialized in classical Vedic Astrology (Jyotish), trained on over 8,700 synthesized question-answer pairs and chart application examples derived from classical Sanskrit texts: * Brihat Parashara Hora Sastra (BPHS) * Mantreswara's Phaladeepika * Bhrigu Nandi Nadi * Classical varga, avastha, shadbala, and dasha frameworks.

Quickstart with Ollama

Run directly on your local machine using Ollama:

ollama run hf.co/gnanasreekar/vedic-qwen2.5-14b-GGUF:Q4_K_M

Or download the .gguf file directly and use with llama.cpp:

./llama-cli -m vedic-qwen2.5-14b-instruct.Q4_K_M.gguf -p "Explain the classical results of Jupiter in the 9th house according to BPHS."

Model Details

  • Base Model: Qwen/Qwen2.5-14B-Instruct
  • Quantization: Q4_K_M (9.0 GB)
  • Training Method: Unsloth QLoRA (r=16, alpha=16) on NVIDIA RTX 5070 Ti
  • Context Window: Up to 16,384 tokens

Identity and Version

Repository
gnanasreekar/vedic-qwen2.5-14b-GGUF
Publisher
GnanaSreekar
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
5dab5ccb3cf355094c701f6b1257cd46fc0e4879
First published
2026-10-17
Last updated
2026-10-17

Files and Weights

4 files, 9.0 GB in total. The weights are 1 file totalling 9.0 GB in gguf.

Weights1 file · 9.0 GB
Documentation1 file · 1.2 KB
Other1 file · 1.7 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
vedic-qwen2.5-14b-instruct.Q4_K_M.ggufWeights9.0 GB 6306b9500748
README.mdDocumentation1.2 KB —
ModelfileOther1.7 KB —
.gitattributesRepository1.6 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
9.0 GB
Download from GnanaSreekar

Released by GnanaSreekar through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published9.0 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About vedic-qwen2.5-14b-GGUF

Can I use vedic-qwen2.5-14b-GGUF commercially?

Yes. vedic-qwen2.5-14b-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.