Update README.md

README.md

@@ -1,13 +1,11 @@
 ---
-base_model: darkc0de/BuddyGlassUncensored2025.2
+base_model: huihui-ai/Falcon3-10B-Instruct-abliterated
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - llama
 - trl
-- llama-cpp
-- gguf-my-repo
 license: apache-2.0
 language:
 - en
@@ -15,9 +13,29 @@ datasets:
 - mlabonne/orpo-dpo-mix-40k
 ---
 
-# darkc0de/BuddyGlassUncensored2025.2-GGUF
-This model was converted to GGUF format from [`darkc0de/BuddyGlassUncensored2025.2`](https://huggingface.co/darkc0de/BuddyGlassUncensored2025.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
-Refer to the [original model card](https://huggingface.co/darkc0de/BuddyGlassUncensored2025.2) for more details on the model.
+
+![image/webp](https://cdn-uploads.huggingface.co/production/uploads/6540a02d1389943fef4d2640/AWgZEpPD-oxWMyOmHhoi1.webp)
+
+
+This is **huihui-ai/Falcon3-10B-Instruct-abliterated** finetuned w/ **unsloth** ORPO on **mlabonne/orpo-dpo-mix-40k** for one epoch. 
+
+The results are a very good Uncensored model for its size (10B). *When prompted* ***correctly***, this model shows no refusals. The model scores 33.44% on Open LLM Leaderboard.  With GGUF(Q4KM) coming in around 6.4GB this model will be usable on most devices even without a GPU.
+
+Run GGUF with **LMStudio.ai**
+
+
+[Open LLM Leaderboard Evaluation Results]
+
+|      Metric       |Value (%)|
+|-------------------|--------:|
+|**Average**        |    33.44|
+|IFEval (0-Shot)    |    77.31|
+|BBH (3-Shot)       |    43.57|
+|MATH Lvl 5 (4-Shot)|    22.89|
+|GPQA (0-shot)      |    10.40|
+|MuSR (0-shot)      |     9.39|
+|MMLU-PRO (5-shot)  |    37.07|
+
+
 
 
-Run with [LM Studio](https://lmstudio.ai/)