EpistemeAI/Fireball-12B
LoRA-style vs EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2.2a. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, q_proj, up_proj, v_proj changed, in 40 of 40 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/81, MLP 120/120, Attention 160/160, lm_head 0/1
4 derivatives checked
- mradermacher/Fireball-12B-i1-GGUF: Quantization
- mradermacher/Fireball-12B-GGUF: Quantization
- featherless-ai-quants/EpistemeAI-Fireball-12B-GGUF: Quantization
- EpistemeAI/Fireball-12B-v1.0: LoRA-style