mondk/claude-llama-8B-think
LoRA-style vs DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning. 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
4 derivatives checked
- mradermacher/claude-llama-8B-think-i1-GGUF: Quantization
- mradermacher/claude-llama-8B-think-GGUF: Same weights, converted
- mondk/claude-llama-8B-think-mlx-4Bit: Quantization
- mondk/claude-llama-8B-think-GGuf: Quantization