Merged 0.2 Expert 0.8 Stack 2x is an open-source language model by ontocord. Features: 6.5b LLM, VRAM: 26.1GB, Context: 128K, Merged, LLM Explorer Score: 0.2.
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_0.2_expert_0.8-stack_2x
Merged 0.2 Expert 0.8 Stack 2x Benchmarks
MMLU Pro: 1.14
GPQA: 1.68
MUSR: 2.09
BBH: 2.82
IFEval: 17.96 vs 88 (so35)-79.6%
MATH Lvl 5: 2.49
LLME Score: 0.19592
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 0.2 Expert 0.8 Stack 2x Parameters and Internals
| LLM Name | Merged 0.2 Expert 0.8 Stack 2x |
| Repository 🤗 | https://huggingface.co/ontocord/merged_0.2_expert_0.8-stack_2x |
| Merged Model | Yes |
| Model Size | 6.5b |
| Required VRAM | 26.1 GB |
| Updated | 2025-09-23 |
| 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 |
Rank the Merged 0.2 Expert 0.8 Stack 2x Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a