peikoff/objectivist-phi4-CP-SFT-merge-GGUF overview
objectivist phi4 CP SFT merge GGUF GGUF quantizations of a Phi 4 mini model fine tuned on Objectivist texts. Made to be shared with the Objectivist community f…
Runs locally from ~2.32 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | peikoff/objectivist-phi4-CP-SFT-merge-GGUF |
|---|---|
| Author | peikoff |
| Pipeline | text-generation |
| License | other |
| Base model | peikoff/objectivist-phi4-mini-CP-SFT-merge |
| Last modified | 2026-10-08T22:01:17.000Z |
Model README
---
license: other
license_name: all-rights-reserved
language:
- en
base_model: peikoff/objectivist-phi4-mini-CP-SFT-merge
base_model_relation: quantized
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
---
objectivist-phi4-CP-SFT-merge-GGUF
GGUF quantizations of a Phi-4-mini model fine-tuned on Objectivist texts. Made to be shared with the Objectivist community for fun.
Full-precision merged weights: peikoff/objectivist-phi4-mini-CP-SFT-merge
Files
| File | Quant | Size |
|---|---|---|
| phi-4-mini-merged-Q4_K_M.gguf | Q4_K_M | 2.49 GB |
| phi-4-mini-merged-Q5_K_M.gguf | Q5_K_M | 2.81 GB |
| phi-4-mini-merged-Q6_K.gguf | Q6_K | 3.16 GB |
| phi-4-mini-merged-Q8_0.gguf | Q8_0 | 4.08 GB |
Usage
llama-server -hf peikoff/objectivist-phi4-CP-SFT-merge-GGUF:Q4_K_M
Intended use
Shared with the Objectivist community for fun.
Training
Two-stage fine-tune of Phi-4-mini using adapters: continued pretraining (CP), then supervised fine-tuning (SFT), merged into the base weights and quantized to GGUF.
The training data is closed source and included:
- about 650 full-text Objectivist articles from ARI, the Prometheus Foundation, and OSI
- Ayn Rand's nonfiction books
- 200 trivia questions from WhoNeeds.it
- biographical data of Objectivists from the WhoNeeds.it D1 database
Evaluation
Subjectively evaluated with prompts. The performance is lacking in the quantized models but not so much that it couldn't be overcome with knowledgestores.
Limitations
Limited by the small size of the model.
License
All rights reserved.
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