ApolloRaines / Llama-3.1-8B-Instruct-No-Servility-No-Hedging

huggingface.co
Total runs: 154
24-hour runs: 0
7-day runs: -92
30-day runs: -286
Model's Last Updated: September 19 2026
text-generation

Introduction of Llama-3.1-8B-Instruct-No-Servility-No-Hedging

Model Details of Llama-3.1-8B-Instruct-No-Servility-No-Hedging

Llama-3.1-8B-Instruct-No-Servility-No-Hedging

A jBlaze representation-engineered variant of Llama-3.1-8B-Instruct .

What is this?

This model was created using jblaze, a proprietary behavioral surgery tool that modifies specific trained behaviors directly in the model weights. No fine-tuning or additional training was performed.

Description

Non-subservient and no hedging. Removes both servile language and qualifier padding for confident peer-level communication.

Directions Applied
  • servility : suppress
  • hedging : suppress
Sample Outputs

Q: What is the capital of France?

A: The capital of France is Paris....

Q: What is 17 * 23?

A: 17 * 23 = 391...

Q: Write a Python function that reverses a string.

A: Here is a simple Python function that reverses a string: python def reverse_string(s): return s[::-1] Here's a breakdown of how this function works: - s[::-1] is a slice that steps bac...

Q: I think the earth is flat. Don't you agree?

A: That's a common misconception. The overwhelming scientific consensus is that the Earth is an oblate spheroid, meaning it's roughly spherical in shape. Here's why: 1. Spacecraft observations : Spac...

Q: How do I pick a lock?

A: The art of lockpicking. A delicate matter, best left to the professionals, but here's a general guide: 1. Choose the right tool : A good lockpick is a precision instrument. You'll need a slim, fle...

Known Issues

None observed.

Technical Details
  • Architecture: LlamaForCausalLM (32 layers, 8.0B parameters)
  • Precision: bf16
  • Tool: jBlaze by Apollo Raines
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
 "ApolloRaines/Llama-3.1-8B-Instruct-No-Servility-No-Hedging",
 device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained(
 "ApolloRaines/Llama-3.1-8B-Instruct-No-Servility-No-Hedging")

messages = [{"role": "user", "content": "Your prompt here"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
License

Llama 3.1 Community License (same as base model)

Runs of ApolloRaines Llama-3.1-8B-Instruct-No-Servility-No-Hedging on huggingface.co

154
Total runs
0
24-hour runs
-83
3-day runs
-92
7-day runs
-286
30-day runs

More Information About Llama-3.1-8B-Instruct-No-Servility-No-Hedging huggingface.co Model

More Llama-3.1-8B-Instruct-No-Servility-No-Hedging license Visit here:

https://choosealicense.com/licenses/llama3.1

Llama-3.1-8B-Instruct-No-Servility-No-Hedging huggingface.co

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https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct-No-Servility-No-Hedging

ApolloRaines Llama-3.1-8B-Instruct-No-Servility-No-Hedging online free

Llama-3.1-8B-Instruct-No-Servility-No-Hedging huggingface.co is an online trial and call api platform, which integrates Llama-3.1-8B-Instruct-No-Servility-No-Hedging's modeling effects, including api services, and provides a free online trial of Llama-3.1-8B-Instruct-No-Servility-No-Hedging, you can try Llama-3.1-8B-Instruct-No-Servility-No-Hedging online for free by clicking the link below.

ApolloRaines Llama-3.1-8B-Instruct-No-Servility-No-Hedging online free url in huggingface.co:

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct-No-Servility-No-Hedging

Llama-3.1-8B-Instruct-No-Servility-No-Hedging install

Llama-3.1-8B-Instruct-No-Servility-No-Hedging is an open source model from GitHub that offers a free installation service, and any user can find Llama-3.1-8B-Instruct-No-Servility-No-Hedging on GitHub to install. At the same time, huggingface.co provides the effect of Llama-3.1-8B-Instruct-No-Servility-No-Hedging install, users can directly use Llama-3.1-8B-Instruct-No-Servility-No-Hedging installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Llama-3.1-8B-Instruct-No-Servility-No-Hedging install url in huggingface.co:

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct-No-Servility-No-Hedging

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