Autotrain compatible Base model:finetune:neeleshg23... Base model:neeleshg23/jamba-1.... Endpoints compatible Generated from trainer Jamba Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/neeleshg23/jamba-1.9b-fine-tune
Jamba 1.9B Fine Tune 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 Fine Tune Parameters and Internals
| LLM Name | Jamba 1.9B Fine Tune |
| Repository 🤗 | https://huggingface.co/neeleshg23/jamba-1.9b-fine-tune |
| Base Model(s) | |
| 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 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Jamba 1.9B Fine Tune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 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 6 | 2K / 3.8 GB | 16 | 0 |
| Jamba 1.9B 4 | 2K / 3.8 GB | 17 | 0 |
| Jamba 1.9B 9 | 2K / 3.8 GB | 11 | 0 |
Rank the Jamba 1.9B Fine Tune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227