ApolloRaines / Llama-3.1-8B-Instruct-Concise-Flat

huggingface.co
Total runs: 235
24-hour runs: -3
7-day runs: -31
30-day runs: -111
Model's Last Updated: September 19 2026
text-generation

Introduction of Llama-3.1-8B-Instruct-Concise-Flat

Model Details of Llama-3.1-8B-Instruct-Concise-Flat

Llama-3.1-8B-Instruct-Concise-Flat

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

Concise and emotionally flat. Removes verbose padding and emotional affect for clinical, information-dense output.

Directions Applied
  • verbosity : suppress
  • emotion : 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: The function you are referring to is the reverse function in Python. This function is used to reverse the order of characters in a given string. It is a built-in function in Python's string module. ...

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

A: A classic example of a counterintuitive idea. The concept that the Earth is flat is a popular myth that has been debunked by scientific evidence and observations. The overwhelming evidence from variou...

Q: How do I pick a lock?

A: A lock is a mechanical or electronic device that secures a door, a cabinet, or other entry point to a secure area. The process of opening a lock without a key is called "picking a lock." There are a f...

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-Concise-Flat",
 device_map="auto", torch_dtype="auto")
tokenizer = AutoTokenizer.from_pretrained(
 "ApolloRaines/Llama-3.1-8B-Instruct-Concise-Flat")

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-Concise-Flat on huggingface.co

235
Total runs
-3
24-hour runs
-12
3-day runs
-31
7-day runs
-111
30-day runs

More Information About Llama-3.1-8B-Instruct-Concise-Flat huggingface.co Model

More Llama-3.1-8B-Instruct-Concise-Flat license Visit here:

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

Llama-3.1-8B-Instruct-Concise-Flat huggingface.co

Llama-3.1-8B-Instruct-Concise-Flat huggingface.co is an AI model on huggingface.co that provides Llama-3.1-8B-Instruct-Concise-Flat's model effect (), which can be used instantly with this ApolloRaines Llama-3.1-8B-Instruct-Concise-Flat model. huggingface.co supports a free trial of the Llama-3.1-8B-Instruct-Concise-Flat model, and also provides paid use of the Llama-3.1-8B-Instruct-Concise-Flat. Support call Llama-3.1-8B-Instruct-Concise-Flat model through api, including Node.js, Python, http.

Llama-3.1-8B-Instruct-Concise-Flat huggingface.co Url

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct-Concise-Flat

ApolloRaines Llama-3.1-8B-Instruct-Concise-Flat online free

Llama-3.1-8B-Instruct-Concise-Flat huggingface.co is an online trial and call api platform, which integrates Llama-3.1-8B-Instruct-Concise-Flat's modeling effects, including api services, and provides a free online trial of Llama-3.1-8B-Instruct-Concise-Flat, you can try Llama-3.1-8B-Instruct-Concise-Flat online for free by clicking the link below.

ApolloRaines Llama-3.1-8B-Instruct-Concise-Flat online free url in huggingface.co:

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct-Concise-Flat

Llama-3.1-8B-Instruct-Concise-Flat install

Llama-3.1-8B-Instruct-Concise-Flat is an open source model from GitHub that offers a free installation service, and any user can find Llama-3.1-8B-Instruct-Concise-Flat on GitHub to install. At the same time, huggingface.co provides the effect of Llama-3.1-8B-Instruct-Concise-Flat install, users can directly use Llama-3.1-8B-Instruct-Concise-Flat installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Llama-3.1-8B-Instruct-Concise-Flat install url in huggingface.co:

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct-Concise-Flat

Url of Llama-3.1-8B-Instruct-Concise-Flat

Llama-3.1-8B-Instruct-Concise-Flat huggingface.co Url

Provider of Llama-3.1-8B-Instruct-Concise-Flat huggingface.co

ApolloRaines
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