Model Card on HF 🤗: https://huggingface.co/AIDC-AI/Marco-LLM-AR
Marco LLM AR 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 AR Parameters and Internals
| LLM Name | Marco LLM AR |
| Repository 🤗 | https://huggingface.co/AIDC-AI/Marco-LLM-AR |
| Model Size | 7.6b |
| Required VRAM | 15.3 GB |
| Updated | 2025-02-22 |
| Maintainer | AIDC-AI |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | ar |
| 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 AR
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MawaredT1 | 128K / 15.2 GB | 2318 | 1 |
| Mergekit 01 | 128K / 16.2 GB | 20 | 0 |
| Exp 3 Q R | 128K / 15.2 GB | 9 | 0 |
| Mawared T1 | 128K / 15.2 GB | 2038 | 1 |
| Qwen2.5 ColdBrew R1 Test3 | 128K / 15.2 GB | 18 | 0 |
| Exp 2 Q R | 128K / 15.2 GB | 6 | 0 |
| T36Model | 128K / 15.2 GB | 16 | 0 |
| T35Model | 128K / 15.2 GB | 7 | 0 |
| T21Model | 128K / 15.2 GB | 18 | 0 |
| Arcee Agent | 128K / 15.2 GB | 278 | 95 |
Note: green Score (e.g. "73.2") means that the model is better than AIDC-AI/Marco-LLM-AR .
Rank the Marco LLM AR Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227