Update README.md

README.md

@@ -44,14 +44,16 @@ mistral-chat $HOME/mistral_models/mamba-codestral-7B-v0.1 --instruct  --max_toke
 ```
 
 ## Evaluation
-We evaluate Codestral Mamba and open-weight models of the similar size on industry-standard benchmarks.
+We evaluate Codestral Mamba, Codestral and open-weight models of similar size on industry-standard benchmarks.
 | Benchmarks | HumanEval | MBPP | Spider | CruxE | HumanEval C++ | HumanEvalJava |HumanEvalJS |HumanEval Bash |
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
 | CodeGemma 1.1 7B | 61.0% | 67.7% | 46.3% | 50.4% | 49.1% | 41.8% | 52.2% | 9.4% |
 | CodeLlama 7B | 31.1% | 48.2% | 29.3% | 50.1% | 31.7% | 29.7% | 31.7% | 11.4% |
 | DeepSeek v1.5 7B | 65.9% | **70.8%** | **61.2%** | 55.5% | 59.0% | **62.7%** | 60.9% | **33.5%** |
 | **Codestral Mamba (7B)** | **75.0%** | 68.5% | 58.8% | **57.8%** | **59.8%** | 57.0% | **61.5%** | 31.1% |
-
+|
+| **Codestral (22B)** | **81.1%%** | **78.2%%** | **63.5%%** | 51.3% | **65.2%** | **63.3%** | -  | **42.4%** |
+| CodeLlama 34B | 43.3% | 75.1% | 50.8% | 55.2% | 51.6% | 57.0% | 59.0% | 29.7% |
 
 ## The Mistral AI Team