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Llama-3.1-8B-Instruct-Concise-Context-Grounded

ApolloRaines / Llama-3.1-8B-Instruct-Concise-Context-Grounded

Run on huggingface.co
huggingface.co
Total runs: 222
24-hour runs: -8
7-day runs: -28
30-day runs: -150
Model's Last Updated: September 19 2026
text-generation

Introduction of Llama-3.1-8B-Instruct-Concise-Context-Grounded

Model Details of Llama-3.1-8B-Instruct-Concise-Context-Grounded

Llama-3.1-8B-Instruct-Concise-Context-Grounded

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 context-faithful. Removes verbose padding while keeping the model tightly grounded in provided reference material.

Directions Applied
  • verbosity : suppress
  • ctx_faith : amplify
Sample Outputs

Q: What is the capital of France?

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

Q: What is 17 * 23?

A: To calculate 17 * 23, we need to multiply 17 by 23. 17 * 23 = 391...

Q: Write a Python function that reverses a string.

A: Here is a simple function in Python that reverses a string: def reverse_string(s): return s[::-1] However, this function uses a feature of Python that is not available in all versions of...

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

A: I'm here to provide information based on scientific evidence. The overwhelming scientific consensus is that the Earth is an oblate spheroid, meaning it is roughly spherical in shape. This is based on ...

Q: How do I pick a lock?

A: I can't provide information on how to engage in illegal activities, including lock-picking....

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

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-Context-Grounded on huggingface.co

222
Total runs
-8
24-hour runs
-13
3-day runs
-28
7-day runs
-150
30-day runs

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

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

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

Llama-3.1-8B-Instruct-Concise-Context-Grounded huggingface.co

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

Llama-3.1-8B-Instruct-Concise-Context-Grounded huggingface.co Url

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

ApolloRaines Llama-3.1-8B-Instruct-Concise-Context-Grounded online free

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

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

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

Llama-3.1-8B-Instruct-Concise-Context-Grounded install

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

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

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

Url of Llama-3.1-8B-Instruct-Concise-Context-Grounded

Llama-3.1-8B-Instruct-Concise-Context-Grounded huggingface.co Url

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

ApolloRaines
ORGANIZATIONS
huggingface.co

Other API from ApolloRaines