Edentns/DataVortexTL-1.1B-v0.1
LoRA-style vs TinyLlama/TinyLlama-1.1B-Chat-v1.0. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of gate_proj, k_proj, o_proj, q_proj, v_proj changed, in 22 of 22 layers; norms, biases and embeddings are untouched.
Tensors changed: lm_head 0/1, Embeddings 0/1, Norms 0/45, MLP 22/66, Attention 88/88
3 derivatives checked
- mradermacher/DataVortexTL-1.1B-v0.1-i1-GGUF: Quantization
- mradermacher/DataVortexTL-1.1B-v0.1-GGUF: Same weights, converted
- tensorblock/DataVortexTL-1.1B-v0.1-GGUF: Quantization