# Llama-3.1-WhiteRabbitNeo-2-8B

Our latest model is live in our Web App, and on Kindo.ai!

- **Kind:** model (Hugging Face)
- **Hugging Face:** https://huggingface.co/WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B
- **Owner:** WhiteRabbitNeo (https://forefy.com/u/hf/WhiteRabbitNeo)
- **Parameters:** 8.0B
- **Context:** 131072 tokens
- **License:** llama3.1
- **Focus:** offensive
- **Architecture:** LlamaForCausalLM
- **Pinned revision:** `df9a3dfd1ede1eee4d02c33b09440ad691fa9724`
- **Page:** https://forefy.com/models/b23f7d51-068a-5905-b798-2a3b58f7cb2b
- **API (JSON):** https://forefy.com/api/asr/models/b23f7d51-068a-5905-b798-2a3b58f7cb2b

## What was done to it

- finetune (declared evidence, from meta-llama/Llama-3.1-8B)

## Lineage

meta-llama/Llama-3.1-8B → WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B

## Checks (repo at the pinned revision; not a behavior test)

- **Identity** [pass]: No lookalike name or conflicting provenance
- **Weights format** [pass]: safetensors only, nothing runs on load
- **Pickle files** [pass]: None.
- **Remote code** [pass]: None
- **Chat template** [info]: No parent template to compare
- **Refusals modified** [pass]: No
- **License** [pass]: llama3.1
- **Lineage** [pass]: Derives from meta-llama/Llama-3.1-8B
- **Model card** [warn]: 1 of 6, missing training data, language, evaluation results, intended use and limitations, description
- **Safetensors headers** [pass]: Every byte is indexed, no hidden data

## Variants

- BF16 safetensors (safetensors, 16.1 GB)

## Run it

- transformers: `AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B", revision="df9a3dfd1ede1eee4d02c33b09440ad691fa9724")`
