You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We are pleased to announce the release of two new Thai language models by the National Electronics and Computer Technology Center (NECTEC): OpenThaiLLM-Prebuilt-7B and Pathumma-llm-text-1.0.0. Both models have been successfully tested on a local leaderboard, specifically for the ThaiExam benchmark. Their respective scores are:
OpenThaiLLM-Prebuilt-7B: 0.594
Pathumma-llm-text-1.0.0: 0.566
We would like to request the integration of these models into the HELM leaderboard under the ThaiExam benchmark. Below, we have provided the necessary configuration files for deployment and metadata:
# NECTEC
- name: nectec/Pathumma-llm-text-1.0.0display_name: Pathumma-llm-text-1.0.0 (7B)description: Pathumma-llm-text-1.0.0 (7B) is a instruction model from OpenThaiLLM-Prebuilt-7B ([blog](https://medium.com/nectec/pathummallm-v-1-0-0-release-6a098ddfe276))creator_organization_name: nectecaccess: opennum_parameters: 72000000000release_date: 2024-10-28tags: [TEXT_MODEL_TAG, PARTIAL_FUNCTIONALITY_TEXT_MODEL_TAG, INSTRUCTION_FOLLOWING_MODEL_TAG]
- name: nectec/OpenThaiLLM-Prebuilt-7Bdisplay_name: OpenThaiLLM-Prebuilt-7B (7B)description: OpenThaiLLM-Prebuilt-7B (7B) is a pretrained Thai large language model with 7 billion parameters based on Qwen2.5-7B.creator_organization_name: nectecaccess: opennum_parameters: 72000000000release_date: 2024-10-28tags: [TEXT_MODEL_TAG, PARTIAL_FUNCTIONALITY_TEXT_MODEL_TAG]
We are pleased to announce the release of two new Thai language models by the National Electronics and Computer Technology Center (NECTEC): OpenThaiLLM-Prebuilt-7B and Pathumma-llm-text-1.0.0. Both models have been successfully tested on a local leaderboard, specifically for the ThaiExam benchmark. Their respective scores are:
OpenThaiLLM-Prebuilt-7B: 0.594
Pathumma-llm-text-1.0.0: 0.566
We would like to request the integration of these models into the HELM leaderboard under the ThaiExam benchmark. Below, we have provided the necessary configuration files for deployment and metadata:
model_deployments.yaml
model_metadata.yaml
tokenizer_configs.yaml
The text was updated successfully, but these errors were encountered: