Llama Transformers record
Captured configuration records LlamaForCausalLM with model type llama and Transformers library support.
Open Source Model Profile · rombodawg
Meta-Llama-3.1-8B-Instruct-reuploaded
Meta-Llama-3.1-8B-Instruct-reuploaded is an 8.03B-parameter Llama-family text-generation model from rombodawg. Hub tags link it to rombodawg/Meta-Llama-3.1-8B-reuploaded, while the captured card holds general Unsloth material.
- Publisher
- rombodawg
- Task
- text-generation
- Model type
- llama
- License
- llama3.1
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Meta-Llama-3.1-8B-Instruct-reuploaded is published by rombodawg as a llama text-generation model. The captured configuration identifies LlamaForCausalLM and Safetensors metadata reports 8,030,261,248 parameters. Card data records llama3.1 licensing, and hub tags list rombodawg/Meta-Llama-3.1-8B-reuploaded as the base model.
Recorded capabilities
8.03B parameter record
Safetensors metadata reports 8,030,261,248 parameters, or about 8.03B.
llama3.1 license with base-model tag
Card data records llama3.1 licensing, and hub tags list rombodawg/Meta-Llama-3.1-8B-reuploaded as the base model.
Use cases in the source record
- General conversational text generation consistent with the captured text-generation pipeline tag and conversational endpoint record.
Limitations and unknowns
- The captured model card contains generic Unsloth notebook promotion rather than model-specific training, dataset, or evaluation detail for this reupload.
- No evaluation results were extracted from this record.
- No context-window value was extracted from this record.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: rombodawg/Meta-Llama-3.1-8B-Instruct-reuploaded
Captured: Unknown. Processed: 2026-09-07T19:34:57.216518+00:00.
Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth! We have a free Google Colab Tesla T4 notebook for Llama 3.1 (8B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing ✨ Finetune for Free All notebooks are beginner friendly ! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face. Unsloth supports Free Notebooks Performance Memory use Llama-3 8b ▶️ Start on Colab 2.4x faster 58% less Gemma 7b ▶️ Start on Colab 2.4x faster 58% less Mistral 7b ▶️ Start on Colab 2.2x faster 62% l…
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