v2ray/GPT4chan-24B
LoRA-style vs mistralai/Mistral-Small-24B-Base-2501. 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: Norms 0/81, MLP 120/120, Attention 160/160
3 derivatives checked
- bartowski/v2ray_GPT4chan-24B-GGUF: Quantization
- mradermacher/GPT4chan-24B-i1-GGUF: Full fine-tune
- mradermacher/GPT4chan-24B-GGUF: Full fine-tune