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Einstein V7 Qwen2 7B Benchmarks
MMLU Pro: 34.4
GPQA: 6.6
MUSR: 14.06
BBH: 32.84
IFEval: 41 vs 88 (so35)-53.4%
MATH Lvl 5: 15.18
LLME Score: 0.34535
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)
Einstein V7 Qwen2 7B Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | Einstein V7 Qwen2 7B |
| Repository 🤗 | https://huggingface.co/Weyaxi/Einstein-v7-Qwen2-7B |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2024-11-21 |
| Maintainer | Weyaxi |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.40.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Einstein V7 Qwen2 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gte Qwen2 7B Instruct | 128K / 30.5 GB | 37719 | 217 |
| Qwen2 7B Instruct V0.1 | 128K / 15.2 GB | 40968 | 1 |
| Qwen2 7B Instruct V0.8 | 128K / 15.2 GB | 40990 | 3 |
| ...nity Instruct 3M 0625 Qwen2 7B | 128K / 15.2 GB | 4920 | 8 |
| Samantha Qwen 2 7B | 128K / 15.2 GB | 4882 | 2 |
| Cybertron V4 Qw7B MGS | 128K / 15.2 GB | 1018 | 11 |
| Rombos LLM V2.5 Qwen 7B | 128K / 15.2 GB | 782 | 14 |
| Meraj Mini | 128K / 15.2 GB | 885 | 11 |
| Qwen2 7B Instruct V0.4 | 128K / 15.2 GB | 41008 | 1 |
| Qwen2 7B Instruct V0.5 | 128K / 15.2 GB | 41019 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v7-Qwen2-7B .
Rank the Einstein V7 Qwen2 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110