Update README.md

README.md

@@ -1,96 +1,13 @@
 ---
-base_model:
-- TareksLab/L2-MERGE2a
-- TareksLab/L2-MERGE4
-- TareksLab/L-BASE-V1
-- TareksLab/L2-MERGE3
-- TareksLab/L2-MERGE1
+base_model: TareksTesting/Legion-V2.2-LLaMa-70B
+base_model_relation: quantized
 library_name: transformers
 tags:
 - mergekit
 - merge
 
 ---
-# merge
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+EXL2 quants by FrenzyBiscuit
 
-## Merge Details
-### Merge Method
-
-This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [TareksLab/L-BASE-V1](https://huggingface.co/TareksLab/L-BASE-V1) as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* [TareksLab/L2-MERGE2a](https://huggingface.co/TareksLab/L2-MERGE2a)
-* [TareksLab/L2-MERGE4](https://huggingface.co/TareksLab/L2-MERGE4)
-* [TareksLab/L2-MERGE3](https://huggingface.co/TareksLab/L2-MERGE3)
-* [TareksLab/L2-MERGE1](https://huggingface.co/TareksLab/L2-MERGE1)
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: TareksLab/L2-MERGE4
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.3, 0.1, 0.2]
-      - filter: mlp
-        value: [0.4, 0.2, 0.1]
-      - value: 0.2
-      density: 0.7
-      lambda: 1.05
-  - model: TareksLab/L2-MERGE2a
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.2, 0.1, 0.3]
-      - filter: mlp
-        value: [0.3, 0.1, 0.2]
-      - value: 0.2
-      density: 0.65
-      lambda: 1.05
-  - model: TareksLab/L2-MERGE3
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.1, 0.3, 0.1]
-      - filter: mlp
-        value: [0.2, 0.3, 0.1]
-      - value: 0.2
-      density: 0.6
-      lambda: 1.05
-  - model: TareksLab/L2-MERGE1
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.2, 0.2, 0.1]
-      - filter: mlp
-        value: [0.1, 0.2, 0.2]
-      - value: 0.2
-      density: 0.6
-      lambda: 1
-  - model: TareksLab/L-BASE-V1
-    parameters:
-      weight: 
-      - filter: self_attn
-        value: [0.1, 0.3, 0.3]
-      - filter: mlp
-        value: [0.1, 0.2, 0.4]
-      - value: 0.2
-      density: 0.55
-      lambda: 1
-base_model: TareksLab/L-BASE-V1
-merge_method: dare_ties
-parameters:
-  normalize: false
-  pad_to_multiple_of: 4
-tokenizer:
-  source: base
-chat_template: llama3
-dtype: bfloat16
-```
+This is a 4.0 BPW