Model Card on HF 🤗: https://huggingface.co/q-future/q-instruct-mplug-owl2-1031
Q Instruct Mplug Owl2 1031 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)
Q Instruct Mplug Owl2 1031 Parameters and Internals
| Model Type |
|
| LLM Name | Q Instruct Mplug Owl2 1031 |
| Repository 🤗 | https://huggingface.co/q-future/q-instruct-mplug-owl2-1031 |
| Required VRAM | 16.4 GB |
| Updated | 2025-02-22 |
| Maintainer | q-future |
| Model Type | mplug_owl2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MPLUGOwl2LlamaForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Rank the Q Instruct Mplug Owl2 1031 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227