Model Card on HF 🤗: https://huggingface.co/AIDC-AI/Marco-LLM-ES
Marco LLM ES 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)
Marco LLM ES Parameters and Internals
| LLM Name | Marco LLM ES |
| Repository 🤗 | https://huggingface.co/AIDC-AI/Marco-LLM-ES |
| Required VRAM | 15.2 GB |
| Updated | 2025-02-05 |
| Maintainer | AIDC-AI |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | es |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Marco LLM ES
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| C3D4e5F6 | 128K / 1 GB | 630 | 0 |
| Qwerty2 05bita | 128K / 1 GB | 569 | 0 |
| B2C3D4e5 | 128K / 1 GB | 50 | 0 |
| RP Jp 2 | 32K / 1 GB | 79 | 1 |
| Qwen Coder7B Finetune | 32K / 15.2 GB | 7 | 0 |
| XFinder Qwen1505 | 32K / 0.9 GB | 5 | 4 |
| Quyen Mini V0.1 | 8K / 3.7 GB | 121 | 5 |
| Quyen Plus V0.1 GPTQ | 32K / 6.2 GB | 5 | 2 |
| Quyen V0.1 GPTQ | 32K / 3.4 GB | 5 | 1 |
| Quyen Pro V0.1 GPTQ | 32K / 10.4 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than AIDC-AI/Marco-LLM-ES .
Rank the Marco LLM ES Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227