Model Card on HF 🤗: https://huggingface.co/appvoid/olmo-oasst-2e
Olmo Oasst 2e 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)
Olmo Oasst 2e Parameters and Internals
| LLM Name | Olmo Oasst 2e |
| Repository 🤗 | https://huggingface.co/appvoid/olmo-oasst-2e |
| Model Size | 1b |
| Required VRAM | 4.7 GB |
| Updated | 2025-02-05 |
| Maintainer | appvoid |
| Model Type | olmo |
| Model Files | |
| Model Architecture | OlmoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|padding|> |
| Vocabulary Size | 50304 |
| Torch Data Type | float32 |
Best Alternatives to Olmo Oasst 2e
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| OLMo 1B 0724 Hf | 4K / 5.1 GB | 96458 | 18 |
| OLMo 1B Base Shakespeare | 4K / 5.1 GB | 9 | 0 |
| OLMo 1B Hf | 2K / 4.7 GB | 15635 | 20 |
| AMD OLMo 1B | 2K / 4.7 GB | 2812 | 24 |
| AMD OLMo 1B SFT DPO | 2K / 4.7 GB | 1653 | 20 |
| AMD OLMo 1B SFT | 2K / 4.7 GB | 367 | 19 |
| Olmo Oasst 1e | 2K / 4.7 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than appvoid/olmo-oasst-2e .
Rank the Olmo Oasst 2e 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? 42577 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227