Merged Model Arxiv:2306.01708 Autotrain compatible Base model:arcee-ai/supernova-... Base model:shuttleai/shuttle-3... Base model:win10/eva-meissa-co... Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/win10/EVA-Meissa-mini-pro
EVA Meissa Mini Pro 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)
EVA Meissa Mini Pro Parameters and Internals
| LLM Name | EVA Meissa Mini Pro |
| Repository 🤗 | https://huggingface.co/win10/EVA-Meissa-mini-pro |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 14b |
| Required VRAM | 29.7 GB |
| Updated | 2025-03-14 |
| Maintainer | win10 |
| Model Type | qwen2 |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to EVA Meissa Mini Pro
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 357 | 3 |
| ZYH LLM Qwen2.5 14B V2 | 986K / 29.7 GB | 118 | 1 |
| Mergekit Model Stock Ggfjmyf | 986K / 29.7 GB | 14 | 0 |
| Mergekit Model Stock Injkqri | 986K / 29.7 GB | 33 | 1 |
| Primal Opus 14B Optimus V2 | 128K / 29.7 GB | 372 | 13 |
| Qwen2.5 14B ReasoningMerge | 128K / 29.7 GB | 307 | 3 |
| Qwen2.5 14B YOYO Latest | 128K / 29.7 GB | 67 | 0 |
| DeepSeek R1 Qwen Coder 8B | 128K / 16.6 GB | 70 | 10 |
| ...1 DeepSeekR1 Coder 14B Preview | 128K / 29.7 GB | 198 | 2 |
| Qwen2.5 14B Coder Merge | 128K / 29.7 GB | 119 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than win10/EVA-Meissa-mini-pro .
Rank the EVA Meissa Mini Pro Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227