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Update model types
#14
by
CombinHorizon
- opened
would you please update the following: (but not all of them are clear-cut)
🟢 pretrained
🔶 fine-tuned
- mistralai/Mixtral-8x22B-Instruct-v0.1 (InstructFT)
- mistralai/Mixtral-8x7B-Instruct-v0.1 (InstructFT)
- mistralai/Mistral-7B-Instruct-v0.3 (InstructFT)
- CohereForAI/aya-23-35B (InstructFT)
- CohereForAI/aya-23-8B (InstructFT)
- mii-llm/minerva-chat-v0.1-alpha-sft
- google/recurrentgemma-2b-it
🟦 RL-tuned , RLHF, DPO, ORPO, ..)
- Qwen/Qwen2-72B-Instruct
- meta-llama/Meta-Llama-3-70B-Instruct
- microsoft/Phi-3-small-8k-instruct
- microsoft/Phi-3-medium-4k-instruct
- Qwen/Qwen1.5-110B-Chat
- CohereForAI/c4ai-command-r-plus
- microsoft/Phi-3-medium-128k-instruct
- meta-llama/Llama-2-70b-chat-hf
- CohereForAI/c4ai-command-r-v01
- mii-llm/maestrale-chat-v0.4-beta
- Qwen/Qwen2-7B-Instruct
- microsoft/Phi-3-mini-4k-instruct
- meta-llama/Meta-Llama-3-8B-Instruct
- google/gemma-1.1-7b-it
- google/gemma-7b-it
- Qwen/Qwen2-1.5B-Instruct
- google/gemma-1.1-2b-it
- google/gemma-2b-it
- Qwen/Qwen2-0.5B-Instruct
btw other leaderboards changed to use a different categorization system
🟢 pretrained
🟩 continuously pretrained
🔶 fine-tuned on domain-specific datasets
💬 chat models (RLHF, DPO, IFT, ...
🤝 base merges and moerges
some also add a
🆎 : language adapted (FP, FT, ...)
so it's
🟢 pretrained → 🟢 or 🟩
🔶 fine-tuned → 🔶
⭕ merged → 🤝
🟦 RL-tuned → 💬
Hello, and thank you for your thorough comment!
This is feasible, however, I've identified two issues:
- For some models featured on the leaderboard, I lack the means to determine if they have been fine-tuned, RL-tuned, or continuously pre-trained due to lack of information in the model card.
- Certain models might belong to multiple categories (e.g., merge + fine-tune). In such cases, how should I prioritize one category over another?