Testing-only reasoning variant
According to the model card, the publisher labels this Meta Llama 3 8B reasoning release for testing purposes only.
Open Source Model Profile · CreitinGameplays
Llama-3.1-8b-reasoning-test
Llama-3.1-8b-reasoning-test is an 8.03B-parameter Llama-family text-generation model from CreitinGameplays. According to the model card, it is a testing-only reasoning experiment.
- Publisher
- CreitinGameplays
- Task
- text-generation
- Model type
- llama
- License
- mit
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Llama-3.1-8b-reasoning-test is published by CreitinGameplays as a text-generation model. The captured configuration identifies LlamaForCausalLM with model type llama, and Safetensors metadata reports about 8.03B parameters under mit. According to the model card, it is a testing-only Llama 3 8B reasoning experiment.
Recorded capabilities
Documented 8-bit loading path
According to the model card, the example loads with bitsandbytes 8-bit quantization when CUDA is available and falls back to CPU otherwise.
Reasoning-token instruction
According to the model card, the prompt instructs the assistant to use the end_reasoning token when ending a reasoning step with the stated sampling settings.
Use cases in the source record
- Testing-style reasoning-prompt experiments using the card's sampling settings and end_reasoning-token instruction.
- Local loading trials with the documented tokenizer, 8-bit CUDA path, CPU fallback, and streaming response example.
Limitations and unknowns
- No context-window value was extracted from this record.
- No evaluation results were extracted from this record.
- No training dataset, step, hardware, or lineage facts were extracted; lineage was not classified.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Testing-purpose scope comes from the publisher card and suitability for other use is unknown.
Source and provenance
Source: CreitinGameplays/Llama-3.1-8b-reasoning-test
Captured: Unknown. Processed: 2026-09-07T19:35:04.077226+00:00.
Meta Llama 3 8B Reasoning (Testing purpose only) Code example: # test the model import torch from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer def main (): model_id = "CreitinGameplays/Llama-3.1-8b-reasoning-test" # Load the tokenizer. tokenizer = AutoTokenizer.from_pretrained(model_id, add_eos_token= True ) # Load the model using bitsandbytes 8-bit quantization if CUDA is available. if torch.cuda.is_available(): model = AutoModelForCausalLM.from_pretrained( model_id, load_in_8bit= True , device_map= "auto" ) device = torch.device( "cuda" ) else : model = AutoModelForCausalLM.from_pretrained(model_id) device…
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