Update README.md

README.md

@@ -120,7 +120,7 @@ Introducing the best LLM in the industry. Nearly as good as a 70B, just a 21.4B
 
 This model has not been poisoned to score high and be useless. We release him becaues its the real deal of EQ & IQ all together in a crazy powerful smart and conversational model.
 
-Quant version available at ... soon ..
+Quant Versions available at [bartowski/UNA-ThePitbull-21.4B-v2-GGUF](https://huggingface.co/bartowski/UNA-ThePitbull-21.4B-v2-GGUF)
 
 ## Difference V1 vs V2
 
@@ -133,8 +133,20 @@ We also performed further SFT over V1 and further DPO over V1 and we'll release
 2. DPO with: 1.0e-4 to min_lr 5.0e-5
 * `mlabonne/orpo-dpo-mix-40k`
 * `jondurbin/py-dpo-v0.1`
-* 
-## Evaluations
+  
+# Evaluations
+## [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__UNA-ThePitbull-21.4B-v2)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |77.82|
+|AI2 Reasoning Challenge (25-Shot)|77.73|
+|HellaSwag (10-Shot)              |91.79|
+|MMLU (5-Shot)                    |68.25|
+|TruthfulQA (0-shot)              |78.24|
+|Winogrande (5-shot)              |87.37|
+|GSM8k (5-shot)                   |63.53|
 
 Can only be compared with its non-una base model: the original luxia-21.4b and ThePitbull-v1
 
@@ -197,10 +209,10 @@ vllm (pretrained=/data/tools/mergekit/una-thepitbull-v5,dtype=bfloat16,gpu_memor
 ```
 
 ## Citations
-* saltlux
 * mlabonne
 * jondurbin & Replete-AI
-* bartowski & TheBloke
+* bartowski
+* saltlux
 
 If you use UNA models dont forget to cite:
 ```
@@ -213,16 +225,3 @@ If you use UNA models dont forget to cite:
   howpublished = {\url{https://huggingface.co/fblgit/UNA-ThePitbull-21.4-v1}},
 }
 ```
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
-Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__UNA-ThePitbull-21.4B-v2)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |77.82|
-|AI2 Reasoning Challenge (25-Shot)|77.73|
-|HellaSwag (10-Shot)              |91.79|
-|MMLU (5-Shot)                    |68.25|
-|TruthfulQA (0-shot)              |78.24|
-|Winogrande (5-shot)              |87.37|
-|GSM8k (5-shot)                   |63.53|
-