Model Card on HF 🤗: https://huggingface.co/neeleshg23/jamba-1.9b-6
Jamba 1.9B 6 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)
Jamba 1.9B 6 Parameters and Internals
| LLM Name | Jamba 1.9B 6 |
| Repository 🤗 | https://huggingface.co/neeleshg23/jamba-1.9b-6 |
| Model Size | 1.9b |
| Required VRAM | 3.8 GB |
| Updated | 2024-12-26 |
| Maintainer | neeleshg23 |
| Model Type | jamba |
| Model Files | |
| Model Architecture | JambaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.46.2 |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Jamba 1.9B 6
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Jamba 1.9B Fine Tune | 2K / 3.8 GB | 27 | 0 |
| Jamba 1.9B Fine Tune Alpaca | 2K / 3.8 GB | 20 | 0 |
| Jamba 1.9B 7 | 2K / 3.8 GB | 27 | 0 |
| Jamba 1.9B 1119 | 2K / 3.8 GB | 13 | 0 |
| Jamba 1.9B 4 | 2K / 3.8 GB | 17 | 0 |
| Jamba 1.9B 9 | 2K / 3.8 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than neeleshg23/jamba-1.9b-6 .
Rank the Jamba 1.9B 6 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? 40303 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227