model: update model card and specs

README.md

@@ -1,5 +1,5 @@
 ---
-license: unknown
+license: other
 pipeline_tag: text-generation
 language:
 - en
@@ -23,15 +23,16 @@ FeatherQwen is a 72B parameter language model created through a merge of Qwen2-7
 ## Technical Specifications
 
 ### Architecture
+- `Qwen2ForCasualLM`
 - Models: Qwen2-72B-Instruct (base), calme2.1-72b, magnum-72b-v1
-- Merged layers: 79
+- Merged layers: 80
 - Total tensors: 1,043
 
 ### Tensor Distribution
-- Attention layers: 333 files
-- MLP layers: 333 files
-- Layer norms: 166 files
-- Miscellaneous (embeddings, output): 211 files
+- Attention layers: 560 files
+- MLP layers: 240 files
+- Layer norms: 160 files
+- Miscellaneous (embeddings, output): 83 files
 
 ### Merging
 Custom script utilizing safetensors library.
@@ -47,8 +48,11 @@ model = AutoModelForCausalLM.from_pretrained("leafspark/FeatherQwen2-72B-v0.1",
                                              device_map="auto", 
                                              torch_dtype=torch.float16)
 tokenizer = AutoTokenizer.from_pretrained("leafspark/FeatherQwen2-72B-v0.1")
-
 ```
+### GGUFs
+
+Find them here: [leafspark/FeatherQwen2-72B-v0.1-GGUF](https://huggingface.co/leafspark/FeatherQwen2-72B-v0.1-GGUF)
+
 
 ### Hardware Requirements
 - Minimum ~140GB of storage