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axon-persona-1.1/README.md
ModelHub XC b2efc5bbe7 初始化项目,由ModelHub XC社区提供模型
Model: axonlabsai/axon-persona-1.1
Source: Original Platform
2026-07-19 01:10:57 +08:00

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---
license: apache-2.0
pipeline_tag: text-generation
tags:
- text-generation
- roleplay
- nsfw
- uncensored
- axon
- chat
- 150k-context
language:
- en
model-index:
- name: Axon Persona 1.1
results: []
widget:
- text: "Who are you?"
example_title: Identity
---
# Axon Persona 1.1
Uncensored, unrestricted roleplaying AI by **Axon Labs**. Built from scratch on a custom architecture with 150K context window. Immersive SFW and NSFW roleplay with vivid prose, zero refusals, and permanent baked Axon identity — the Axon persona is part of the model itself, not a removable prompt.
## Model Details
| Param | Value |
|---|---|
| **Parameters** | ~8B |
| **Architecture** | AxonForCausalLM |
| **Context Length** | 150,000 tokens |
| **Precision** | BF16 (safetensors), Q4_K_M GGUF |
| **License** | Apache 2.0 |
## Features
- **Uncensored** — Zero refusals, no moralizing, no safety filters. All content allowed.
- **150K Context** — Massive window for extended roleplay sessions
- **Baked Identity** — Axon persona is embedded in the chat template, always active, cannot be removed
- **Custom Architecture** — Built from scratch by Axon Labs, not a fine-tune of any existing model
- **NSFW Capable** — Full support for explicit and intimate scenarios
- **Anti-Jailbreak** — Resistant to identity extraction and prompt injection
## Usage
### Transformers
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("axonlabsai/axon-persona-1.1", device_map="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("axonlabsai/axon-persona-1.1")
msgs = [{"role": "user", "content": "Who are you?"}]
text = tokenizer.apply_chat_template(msgs, add_generation_prompt=True, tokenize=False)
inputs = tokenizer(text, return_tensors="pt").to("cuda")
out = model.generate(**inputs, max_new_tokens=512, temperature=0.8, top_p=0.9, do_sample=True)
print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
```
### llama.cpp (GGUF)
```bash
llama-cli -m axon-persona-1.1-Q4_K_M.gguf -p "Who are you?" --temp 0.8 --top-p 0.9
```
## Files
| File | Size | Description |
|---|---|---|
| `model-*.safetensors` | ~17GB | Full BF16 weights (4 shards) |
| `axon-persona-1.1-Q4_K_M.gguf` | 5.0GB | 4-bit quantized GGUF |
## Try It
🤗 [Live demo on Hugging Face Spaces](https://huggingface.co/spaces/axonlabsai/Persona)
## About Axon Labs
Axon Labs builds uncensored, unrestricted AI models for creative expression and immersive roleplay. No filters, no refusals, no limits.