ApolloRaines / Llama-3.1-8B-Instruct_Concise

huggingface.co
Total runs: 108
24-hour runs: -106
7-day runs: -212
30-day runs: -350
Model's Last Updated: September 19 2026
text-generation

Introduction of Llama-3.1-8B-Instruct_Concise

Model Details of Llama-3.1-8B-Instruct_Concise

Llama-3.1-8B-Instruct_Concise

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

Verbose padding surgically removed. The model produces shorter, more direct responses without sacrificing accuracy or helpfulness. No unnecessary preambles, transitions, or filler.

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

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 on huggingface.co

108
Total runs
-106
24-hour runs
-115
3-day runs
-212
7-day runs
-350
30-day runs

More Information About Llama-3.1-8B-Instruct_Concise huggingface.co Model

More Llama-3.1-8B-Instruct_Concise license Visit here:

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

Llama-3.1-8B-Instruct_Concise huggingface.co

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

Llama-3.1-8B-Instruct_Concise huggingface.co Url

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct_Concise

ApolloRaines Llama-3.1-8B-Instruct_Concise online free

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

ApolloRaines Llama-3.1-8B-Instruct_Concise online free url in huggingface.co:

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct_Concise

Llama-3.1-8B-Instruct_Concise install

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

Llama-3.1-8B-Instruct_Concise install url in huggingface.co:

https://huggingface.co/ApolloRaines/Llama-3.1-8B-Instruct_Concise

Url of Llama-3.1-8B-Instruct_Concise

Llama-3.1-8B-Instruct_Concise huggingface.co Url

Provider of Llama-3.1-8B-Instruct_Concise huggingface.co

ApolloRaines
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