Mihaiii
/

dolphin-2.6-mistral-7b-dpo-5.93B

@@ -12,197 +12,41 @@ language:
 license: apache-2.0
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 license: apache-2.0
 ---
+This is pruned down version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo) from 7.24B params to 5.93B params (~ 82%).
+# Steps to replicate:
+Use [laserQlora.ipynb](https://github.com/cognitivecomputations/laserRMT/blob/main/laserQlora.ipynb) from [cognitivecomputations/laserRMT](https://github.com/cognitivecomputations/laserRMT) to determine which layers should be eliminated.
+Replace `model_name = "mistralai/Mistral-7B-v0.1"` with `model_name = "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"`.
+I also ran the script only for `self_attn.v_proj` (so change the script to `layer_types=["self_attn.v_proj"]`)
+Order by snr descending and eliminate top layers using [mergekit](https://github.com/arcee-ai/mergekit).
+The threshold for elimination is up to you, depeding on how many layers you want removed. I decided to remove 6 layers (indexes: 3, 5, 16, 18, 19, 24 )
+Here is the mergekit config:
+```yml
+slices:
+  - sources:
+    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
+      layer_range: [0, 3]
+  - sources:
+    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
+      layer_range: [4, 5]
+  - sources:
+    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
+      layer_range: [6, 16]
+  - sources:
+    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
+      layer_range: [17, 18]
+  - sources:
+    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
+      layer_range: [20, 24]
+  - sources:
+    - model: "cognitivecomputations/dolphin-2.6-mistral-7b-dpo"
+      layer_range: [25, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+The model outputted by mergekit with this configuration is this model (dolphin-2.6-mistral-7b-dpo-5.93B).