Model Card on HF 🤗: https://huggingface.co/BlueZeros/MING-MOE-14B
MING MoE 14B Benchmarks
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)
MING MoE 14B Parameters and Internals
| LLM Name | MING MoE 14B |
| Repository 🤗 | https://huggingface.co/BlueZeros/MING-MOE-14B |
| Model Size | 14b |
| Required VRAM | 0.1 GB |
| Updated | 2025-02-22 |
| Maintainer | BlueZeros |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj|o_proj|k_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to MING MoE 14B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Phi3 14B Unsloth Sft Quip 2bit | 0K / 0.1 GB | 7 | 0 |
| Phi3 14B Unsloth Sft Quip 3bit | 0K / 0.1 GB | 6 | 0 |
| ReWiz Qwen 2.5 14B | 0K / 29.7 GB | 344 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than BlueZeros/MING-MOE-14B .
Rank the MING MoE 14B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227