Results Sharded Bf16 5GB 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 Sharded Bf16 5GB Parameters and Internals
| LLM Name | Results Sharded Bf16 5GB |
| Repository 🤗 | https://huggingface.co/janani4office2/results-sharded-bf16-5GB |
| Required VRAM | 13.4 GB |
| Updated | 2024-09-07 |
| Maintainer | janani4office2 |
| Model Type | mpt |
| Model Files | |
| Model Architecture | MPTForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50432 |
| Torch Data Type | bfloat16 |
Best Alternatives to Results Sharded Bf16 5GB
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Tiny Mpt Random Remote Code | 0K / 0 GB | 12850 | 0 |
| WangchanLion7B | 0K / 29.8 GB | 17 | 5 |
| Replit Code Instruct Glaive | 0K / 10.4 GB | 9 | 88 |
| Replit Coder | 0K / 5.2 GB | 11 | 0 |
| Replit Openorca | 0K / 5.2 GB | 7 | 5 |
| Replit Leetcode | 0K / 5.2 GB | 9 | 0 |
| Gpt4all Mpt | 0K / 26.6 GB | 12 | 10 |
| Mpt Mini Shakespeare | 0K / 0 GB | 10 | 1 |
| PhoGPT 7B5 GGUF | 0K / 17 GB | 21 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than janani4office2/results-sharded-bf16-5GB .
Rank the Results Sharded Bf16 5GB Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803