Autotrain compatible Base model:finetune:mosaicml/m... Base model:mosaicml/mpt-7b-ins... Custom code Endpoints compatible Generated from trainer Instruct Mpt Pytorch Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/janani4office2/results
Results 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)
Results Parameters and Internals
| LLM Name | Results |
| Repository 🤗 | https://huggingface.co/janani4office2/results |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 13.3 GB |
| Updated | 2025-02-18 |
| Maintainer | janani4office2 |
| Model Type | mpt |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| License | cc-by-sa-3.0 |
| Transformers Version | 4.31.0 |
| Vocabulary Size | 50432 |
| Torch Data Type | bfloat16 |
Best Alternatives to Results
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mpt 7B Chat | 0K / 13.3 GB | 95245 | 512 |
| Mpt 7B Instruct | 0K / 13.3 GB | 15434 | 469 |
| Mpt 7B Int8 Ov | 0K / 0 GB | 27 | 0 |
| Sea Lion 7B Instruct | 0K / 15 GB | 357 | 23 |
| Mpt 7B 8K Instruct | 0K / 13.3 GB | 2057 | 26 |
| Sea Lion 7B Instruct Research | 0K / 15 GB | 56 | 14 |
| ...7B 8K Instruct Peft Compatible | 0K / 13.3 GB | 17 | 1 |
| Mpt 7B 8K Chat Sharded Bf16 | 0K / 13.4 GB | 7 | 1 |
| Vigogne Mpt 7B Instruct | 0K / 13.4 GB | 8 | 0 |
| ...pt 7B Instruct Peft Compatible | 0K / 13.3 GB | 43 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than janani4office2/results .
Rank the Results Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227