docs(base_instruct_evals): intended branch links

skythought/skythought_evals/base_instruct_evals.md

@@ -13,7 +13,7 @@ git checkout 703fbff
 pip install -e ".[ifeval]"
 ```
 
-For more details, you can refer to the official instructions [here](https://github.com/EleutherAI/lm-evaluation-harness/tree/703fbffd6fe5`e136bbb9d884cb40844e5503ae5d?tab=readme-ov-file#install). We report results with commit https://github.com/EleutherAI/lm-evaluation-harness/commit/703fbffd6fe5e136bbb9d884cb40844e5503ae5d
+For more details, you can refer to the official instructions [here](https://github.com/EleutherAI/lm-evaluation-harness/tree/703fbffd6fe5e136bbb9d884cb40844e5503ae5d?tab=readme-ov-file#install). We report results with commit https://github.com/EleutherAI/lm-evaluation-harness/commit/703fbffd6fe5e136bbb9d884cb40844e5503ae5d
 
 2. For `fastchat`, follow the instructions [here](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge#install). The current implementation of Fastchat is based on OpenAI version <= 0.28.0. For making use of the latest vllm backend, it is recommended to migrate the `llm_judge` folder to use openai>=1.0.0. You can run `openai migrate` for the fastchat codebase or follow the PR [here](https://github.com/lm-sys/FastChat/pull/2915/files)
 3. For `BFCL`, you can follow the official instructions [here](https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard#basic-installation). We further evaulate on all test categories, which requires [setting up environment variables](https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard#setting-up-environment-variables), and [obtaining API keys for executable test categories](https://github.com/ShishirPatil/gorilla/tree/main/berkeley-function-call-leaderboard#api-keys-for-executable-test-categories). Make sure to use changes from [this PR](https://github.com/ShishirPatil/gorilla/pull/888) for QwQ and Sky-T1 model support.