Llama 3.3 70B Instruct abliterated.

A community finetune tuned to refuse less than the instruct model it is based on. Served through MagmaRouter on one OpenAI-compatible endpoint, priced at $0.805 in and $0.805 out per million tokens.

Model idhuihui-ai/Llama-3.3-70B-Instruct-abliterated
Tagabliterated
Context33k tokens
Input price$0.805 / million tokens
Output price$0.805 / million tokens
Tool callingNot supported

What the abliterated tag actually means

huihui-ai/Llama-3.3-70B-Instruct-abliterated is tagged abliterated, meaning the refusal direction was identified and removed from the model's activations, so it very rarely refuses. That is not the same as being correct or safe: it can still be wrong, produce weak output, or generate content that is illegal to use. The tag describes what was done to the weights, not a promise about answers.

Call it with curl

curl https://api.magmarouter.com/v1/chat/completions \
  -H "Authorization: Bearer rl-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "huihui-ai/Llama-3.3-70B-Instruct-abliterated",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Call it with the OpenAI SDK

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.magmarouter.com/v1",
    api_key="rl-...",
)

resp = client.chat.completions.create(
    model="huihui-ai/Llama-3.3-70B-Instruct-abliterated",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

In Claude Code

No tool calling This model does not advertise tool calling, so it cannot drive an agent like Claude Code that needs to edit files or run commands. A tool request to it returns a 400 that names the model and costs nothing. Use it for chat and generation through the OpenAI-compatible endpoint below.

FAQ

What does the abliterated tag mean?

Abliterated means the refusal direction was removed from the model, so it almost never refuses. It does not mean the output is correct or lawful to use.

Does Llama 3.3 70B Instruct abliterated store my prompts?

No. MagmaRouter stores the model id, token counts and cost, not the prompt or completion, and returns a signed receipt of the prompt hash.

How much does it cost?

$0.805 per million input tokens and $0.805 per million output tokens, margin already included.

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