Merged Model Arxiv:2306.01708 Autotrain compatible Base model:shuttleai/shuttle-3... Base model:win10/eva-meissa-mi... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/win10/EVA-Meissa-mini-pro-v2
EVA Meissa Mini Pro V2 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 V2 Parameters and Internals
| LLM Name | EVA Meissa Mini Pro V2 |
| Repository 🤗 | https://huggingface.co/win10/EVA-Meissa-mini-pro-v2 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 14.8b |
| Required VRAM | 29.7 GB |
| Updated | 2024-12-27 |
| Maintainer | win10 |
| Model Type | qwen2 |
| Model Files | |
| 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 V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SeQwence 14Bv3 | 128K / 29.5 GB | 44 | 2 |
| SuperNova Medius Bf16 | 128K / 29.6 GB | 17 | 2 |
| RQwen V0.2 | 32K / 29.7 GB | 42 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than win10/EVA-Meissa-mini-pro-v2 .
Rank the EVA Meissa Mini Pro V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227