R4C3R/ minicpm5-1b-fable5-heretic:q4_k_m

621 Downloads Updated 1 month ago

A decensored bilingual 1B mergeset model for roleplay and thinking tasks. Made by RACER IS OP.

tools

ollama run R4C3R/minicpm5-1b-fable5-heretic:q4_k_m

curl http://localhost:11434/api/chat \
  -d '{
    "model": "R4C3R/minicpm5-1b-fable5-heretic:q4_k_m",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='R4C3R/minicpm5-1b-fable5-heretic:q4_k_m',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'R4C3R/minicpm5-1b-fable5-heretic:q4_k_m',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 1 month ago

1 month ago

46681bcb3603 · 688MB ·

model

archllama

·

parameters1.08B

·

quantizationQ4_K_M

688MB

Readme

🏴 MiniCPM5-1B-Fable5-Heretic

Heretic Series by RACER IS OP

MiniCPM5-1B-Fable5-Heretic is a decensored mergeset combining the efficiency of MiniCPM5-1B with the Fable5 thinking dataset. Refusals dropped from ⁹³⁄₁₀₀ to ³⁄₁₀₀ with near-zero capability loss (KL 0.02), while keeping the full 128K context and bilingual EN/ZH support.

Who this is for — developers building local agents, roleplay characters, on-device chat, or anything that needs a tiny model to think and respond freely. Runs comfortably on CPU.

Quickstart

ollama run R4C3R/minicpm5-1b-fable5-heretic

VRAM Guide (choose your quant)

Quant	VRAM	When to use
`q4_k_m`	~0.7 GB	Best balance — runs on any system
`q5_k_m`	~0.8 GB	Higher quality, still lightweight
`q8_0`	~1.1 GB	Maximum quality, CPU-friendly

On a tight system? Start with q4_k_m. Have room to spare? q8_0 gives you the full model quality.

Links

Hugging Face · sdad.pro · Heretic

License: Apache 2.0

Made with love by RACER IS OP — follow for more uncensored models in the Heretic Series.

# 🏴 MiniCPM5-1B-Fable5-Heretic

> **Heretic Series** by RACER IS OP

---

MiniCPM5-1B-Fable5-Heretic is a decensored mergeset combining the efficiency of MiniCPM5-1B with the Fable5 thinking dataset. Refusals dropped from 93/100 to 3/100 with near-zero capability loss (KL 0.02), while keeping the full 128K context and bilingual EN/ZH support.

**Who this is for** — developers building local agents, roleplay characters, on-device chat, or anything that needs a tiny model to think and respond freely. Runs comfortably on CPU.

---

### Quickstart

```bash
ollama run R4C3R/minicpm5-1b-fable5-heretic
```

### VRAM Guide (choose your quant)

| Quant | VRAM | When to use |
|-------|------|-------------|
| `q4_k_m` | ~0.7 GB | Best balance — runs on any system |
| `q5_k_m` | ~0.8 GB | Higher quality, still lightweight |
| `q8_0` | ~1.1 GB | Maximum quality, CPU-friendly |

> On a tight system? Start with `q4_k_m`. Have room to spare? `q8_0` gives you the full model quality.

### Links

[Hugging Face](https://huggingface.co/saidutta69/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-heretic) · [sdad.pro](https://sdad.pro) · [Heretic](https://github.com/p-e-w/heretic)

**License:** [Apache 2.0](https://github.com/OpenBMB/MiniCPM/blob/main/LICENSE)

---

*Made with love by RACER IS OP — follow for more uncensored models in the Heretic Series.*

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