Model Card on HF 🤗: https://huggingface.co/openbmb/MiniCPM4-8B-Eagle-FRSpec
MiniCPM4 8B Eagle FRSpec 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)
MiniCPM4 8B Eagle FRSpec Parameters and Internals
| LLM Name | MiniCPM4 8B Eagle FRSpec |
| Repository 🤗 | https://huggingface.co/openbmb/MiniCPM4-8B-Eagle-FRSpec |
| Model Size | 8b |
| Required VRAM | 1.1 GB |
| Updated | 2025-06-09 |
| Maintainer | openbmb |
| Model Type | minicpm |
| Model Files | |
| Supported Languages | zh en |
| Model Architecture | MiniCPMForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.0 |
| Is Biased | 0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 73448 |
| Torch Data Type | bfloat16 |
Best Alternatives to MiniCPM4 8B Eagle FRSpec
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MiniCPM4 8B | 32K / 16.4 GB | 643 | 106 |
| MiniCPM4 8B Marlin VLLM | 32K / 5.2 GB | 200 | 4 |
| MiniCPM4 Survey | 32K / 16.5 GB | 46 | 8 |
| MiniCPM4 8B Marlin Cpmcu | 32K / 5.1 GB | 45 | 5 |
| MiniCPM4 8B Eagle VLLM | 32K / 2.3 GB | 60 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than openbmb/MiniCPM4-8B-Eagle-FRSpec .
Rank the MiniCPM4 8B Eagle FRSpec Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124