Merged Model Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ontocord/merged_0.5_expert_0.5
Merged 0.5 Expert 0.5 Benchmarks
MMLU Pro: 1.2
GPQA: 1.9
MUSR: 1.51
BBH: 3.1
IFEval: 17.87 vs 88 (so35)-79.7%
MATH Lvl 5: 1.96
LLME Score: 0.21929
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Merged 0.5 Expert 0.5 Parameters and Internals
| LLM Name | Merged 0.5 Expert 0.5 |
| Repository 🤗 | https://huggingface.co/ontocord/merged_0.5_expert_0.5 |
| Merged Model | Yes |
| Model Size | 3.8b |
| Required VRAM | 15.1 GB |
| Updated | 2025-10-01 |
| Maintainer | ontocord |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Merged 0.5 Expert 0.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Merged 0.2 Expert 0.8 | 128K / 15.1 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than ontocord/merged_0.5_expert_0.5 .
Rank the Merged 0.5 Expert 0.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124