winninghealth/WiNGPT2-Llama-3-8B-Base

Full fine-tune vs meta-llama/Meta-Llama-3-8B. Fine-tune: 100% of the weights changed, across 32 of 32 layers.

Tensors changed: Embeddings 1/1, Norms 65/65, MLP 96/96, Attention 128/128, lm_head 1/1

3 derivatives checked

• mradermacher/WiNGPT2-Llama-3-8B-Base-i1-GGUF: Quantization
• featherless-ai-quants/winninghealth-WiNGPT2-Llama-3-8B-Base-GGUF: Quantization
• mradermacher/WiNGPT2-Llama-3-8B-Base-GGUF: Same weights, converted

On the Hub · Downloads on Model Pulse