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SpydazWeb AI CyberTron Ultra 7b Benchmarks
MMLU Pro: 20.73
GPQA: 5.7
MUSR: 10.3
BBH: 27.75
IFEval: 15.56 vs 88 (so35)-82.3%
MATH Lvl 5: 0.76
LLME Score: 0.25547
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)
SpydazWeb AI CyberTron Ultra 7B Parameters and Internals
| LLM Name | SpydazWeb AI CyberTron Ultra 7b |
| Repository 🤗 | https://huggingface.co/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-18 |
| Maintainer | LeroyDyer |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to SpydazWeb AI CyberTron Ultra 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 185 | 5 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 21 | 0 |
| ... Summarize 64K QLoRANET Merged | 128K / 4.1 GB | 5 | 0 |
| ...1 Summarize 64K LoRANET Merged | 128K / 14.4 GB | 7 | 0 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 960658 | 2512 |
| Mistral 7B Instruct V0.1 | 32K / 14.4 GB | 656982 | 1503 |
| ...ity Instruct 7M Gen Mistral 7B | 32K / 14.4 GB | 2524 | 1 |
| ...ty Instruct 3M 0613 Mistral 7B | 32K / 14.4 GB | 5011 | 10 |
| ...ty Instruct 3M 0625 Mistral 7B | 32K / 14.4 GB | 1937 | 2 |
| Dolphin 2.8 Mistral 7B V02 | 32K / 14.4 GB | 24083 | 205 |
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b .
Rank the SpydazWeb AI CyberTron Ultra 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803