UEC-InabaLab/Llama-3.1-KokoroChat-Low
LoRA-style vs tokyotech-llm/Llama-3.1-Swallow-8B-Instruct-v0.3. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/65, MLP 96/96, Attention 128/128, lm_head 0/1
2 derivatives checked
- mradermacher/Llama-3.1-KokoroChat-Low-i1-GGUF: Quantization
- mradermacher/Llama-3.1-KokoroChat-Low-GGUF: Same weights, converted