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AnkitAI/Mistral-Heretica-12B-GGUF
Mistral-Heretica-12B-GGUF is a text generation model from AnkitAI. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as other.
Downloads · 30 days
5.6K
33% of all-time downloads
All-time downloads
17.2K
Public
Repo size
39.3 GB
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7
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.gguf39.3 GB · 100%
From the Hugging Face model README
GGUF quantizations of mrcuddle/Mistral-Heretica-12B.
Original model: a Task Arithmetic merge of Mistral-Nemo-Instruct-2407, Lumimaid-v0.2-12B, and absolute-heresy — tuned for uncensored roleplay and creative writing. 12B params, Mistral architecture.
Quantized with llama.cpp (release b9890). Run these in LM Studio, Ollama, KoboldCpp, SillyTavern, or llama.cpp directly.
| File | Quant | Size | Description |
|---|---|---|---|
| Q8_0 | Q8_0 | 12 GB | Maximum quality, near-lossless. Overkill for most. |
| Q6_K | Q6_K | 9.4 GB | Very high quality, effectively lossless. |
| Q5_K_M | Q5_K_M | 8.1 GB | High quality. Balanced pick. |
| Q4_K_M | Q4_K_M | 7.0 GB | Good quality, best size/speed tradeoff. Recommended default. |
F16 (23 GB) is the unquantized conversion — only needed if you want to re-quantize yourself.
Pick the largest quant that fits in your RAM/VRAM with room to spare (leave ~1–2 GB for context).
For roleplay/creative use, Q4_K_M is plenty — quality loss over Q8 is negligible in practice.
Mistral instruct format (primary):
<s>[INST] {prompt} [/INST]
Most front-ends (SillyTavern, LM Studio) apply this automatically when you select a Mistral / Mistral-Nemo template. The Lumimaid component was also trained with ChatML, so ChatML works too — but Mistral format is the safe default.
Mistral-Nemo (this model's base) is temperature-sensitive — high temperature makes it incoherent. Keep it low:
| Setting | Value | Note |
|---|---|---|
| Temperature | 0.5 – 0.7 | Do not exceed ~1.0. Lower = more coherent, higher = more creative. |
| Min-P | 0.05 | Primary truncation. Leave Top-P/Top-K off if using Min-P. |
| Repetition penalty | 1.05 – 1.1 | Or use DRY (0.8 / 1.75 / 2) if your front-end supports it. |
| Context | up to 16k reliable | Nemo's trained context is 128k but quality degrades well before that. |
Start at temp 0.6 / min-p 0.05 and adjust from there.
llama.cpp:
llama-cli -m Mistral-Heretica-12B-GGUF-Q4_K_M.gguf --jinja -p "Write a short noir opening."
Download one file with the HF CLI (skip the rest):
hf download AnkitAI/Mistral-Heretica-12B-GGUF \
Mistral-Heretica-12B-GGUF-Q4_K_M.gguf --local-dir .
Ollama:
ollama run hf.co/AnkitAI/Mistral-Heretica-12B-GGUF:Q4_K_M
Q4_K_M smoke-tested: loads correctly, follows instructions (valid JSON output), and produces coherent creative prose. ~5–6 tok/s generation on Apple Silicon (M-series).
If this model is useful in your work, you can support independent research:
<p align="left"> <a href="https://www.buymeacoffee.com/AnkitAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me a Coffee" height="60" width="217" /></a> </p>The base model declares no explicit license. This merge inherits terms from its source models — notably Lumimaid-v0.2-12B, which is CC-BY-NC-4.0 (non-commercial). Treat this model as non-commercial unless you verify otherwise with the original authors. These are quantizations only; all model rights belong to the original creators.
More models: ankitaglawe.com