Update README.md

README.md

@@ -77,7 +77,7 @@ The `untrained-special-tokens-fixed` branch is the same model as the main branch
 | Branch | Bits | Group Size | Act Order | Damp % | GPTQ Dataset | Sequence Length | VRAM Size | ExLlama | Special Tokens Fixed | Description |
 | ------ | ---- | -- | --------- | ------ | ------------ | ------- | ---- | ------- | ------- | ---- |
 | [main](https://huggingface.co/astronomer-io/Llama-3-8B-GPTQ-4-Bit/tree/main) | 4 | 128 | Yes | 0.1 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 8192 | 5.74 GB | Yes | No | 4-bit, with Act Order and group size 128g. Smallest model possible with small accuracy loss | 
-| [untrained-special-tokens-fixed](https://huggingface.co/astronomer-io/Llama-3-8B-GPTQ-4-Bit/tree/untrained-special-tokens-fixed) | 4 | 128 | Yes | 0.1 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 8192 | 5.74 GB | Yes | Yes | 4-bit, with Act Order and group size 128g. Smallest model possible with small accuracy loss | 
+| [untrained-special-tokens-fixed](https://huggingface.co/astronomer-io/Llama-3-8B-GPTQ-4-Bit/tree/untrained-special-tokens-fixed) | 4 | 128 | Yes | 0.1 | [wikitext](https://huggingface.co/datasets/wikitext/viewer/wikitext-2-v1/test) | 8192 | 5.74 GB | Yes | Yes | Same as the main branch. The special tokens that were untrained causing exploding gradients/NaN gradients have had their embedding values set to the average of trained tokens for each feature | 
 | More variants to come | TBD | TBD | TBD | TBD | TBD | TBD | TBD | TBD | TBD | May upload additional variants of GPTQ 4 bit models in the future using different parameters such as 128g group size and etc. |
 
 ## Serving this GPTQ model using vLLM