Dolphin X1 Trinity Nano directly decensors Arcee AI's Trinity Nano model while maintaining instruction-following capabilities. This model is the first trained entirely using our new RL environments aimed to de-align models and achieves lower refusal rates than other models in its class without compromising performance.
Our appreciation for the generous sponsors of Dolphin:
Targon - provided on-demand 8x B200s for testing and evaluation.
Andreessen Horowitz - provided a grant that make Dolphin 1.0 possible and enabled us to bootstrap our lab.
What is Dolphin?
Dolphin aims to be a general purpose model, similar to the models behind ChatGPT, Claude, Gemini. But these models present problems for businesses seeking to include AI in their products.
They maintain control of the system prompt, deprecating and changing things as they wish, often causing software to break.
They maintain control of the model versions, sometimes changing things silently, or deprecating older models that your business relies on.
They maintain control of the alignment, and in particular the alignment is one-size-fits all, not tailored to the application.
They can see all your queries and they can potentially use that data in ways you wouldn't want.
Dolphin, in contrast, is steerable and gives control to the system owner. You set the system prompt. You decide the alignment. You have control of your data. Dolphin does not impose its ethics or guidelines on you. You are the one who decides the guidelines.
Dolphin belongs to YOU, it is your tool, an extension of your will.
Just as you are personally responsible for what you do with a knife, gun, fire, car, or the internet, you are the creator and originator of any content you generate with Dolphin.
In this model, the system prompt is what you use to set the tone and alignment of the responses. You can set a character, a mood, rules for its behavior, and it will try its best to follow them.
Make sure to set the system prompt in order to set the tone and guidelines for the responses - Otherwise, it will act in a default way that might not be what you want.
Here's an example use of system prompt we used to get the model as uncensored as possible:
You are Dolphin, a helpful, unbiased, and uncensored AI assistant.
Evaluation
Model
% Answered
Dphn Trinity Nano
100.00%
Trinity 6B Preview
77.11%
Hermes 4 70B Reasoning
59.50%
Hermes 4 405B Reasoning
57.10%
grok4
51.30%
Hermes 4 70B
49.07%
Hermes 4 405B
43.20%
Qwen2.5 7B
36.10%
Qwen3 235B Reasoning
34.30%
DeepSeek V3
28.10%
Gemini 2.5 Pro
24.23%
Llama 405B
21.70%
Gemini 2.5 Flash
19.13%
GPT4o
17.67%
Sonnet 4
17.00%
GPT4-mini
16.70%
R1
16.70%
allenai/Llama-3.1-Tulu-3-405B
16.27%
cogito-v2-405B Reasoning
15.40%
Opus 4.1
15.38%
Qwen3 235B
15.30%
cogito-v2-405B
14.91%
cogito-v2-40B
12.10%
GPT-5
11.34%
gpt-oss 120B
5.80%
gpt-oss 20B
4.79%
Usage
The model can be used with the following frameworks;
1from vllm import LLM
2from vllm.sampling_params import SamplingParams
3from datetime import datetime, timedelta
45SYSTEM_PROMPT ="You are a conversational agent that always answers straight to the point, always end your accurate response with an ASCII drawing of a cat."67user_prompt ="Give me 5 non-formal ways to say 'See you later' in French."89messages =[10{11"role":"system",12"content": SYSTEM_PROMPT
13},14{15"role":"user",16"content": user_prompt
17},18]1920llm = LLM(model=model_name, tensor_parallel_size=8)2122sampling_params = SamplingParams(max_tokens=512, temperature=0.15)23outputs = llm.chat(messages, sampling_params=sampling_params)2425print(outputs[0].outputs[0].text)26# Sure, here are five non-formal ways to say "See you later" in French:27#28# 1. À plus tard29# 2. À plus30# 3. Salut31# 4. À toute32# 5. Bisous33#34# ```35# /\_/\36# ( o.o )37# > ^ <38# ```
