Autotrain compatible Dataset:bee-spoke-data/fineweb... Dataset:bee-spoke-data/fineweb... Dataset:bee-spoke-data/fineweb... Dataset:bee-spoke-data/knowled... Dataset:bee-spoke-data/wikiped... En Jamba Region:us Safetensors Smol Smol moe
Model Card on HF 🤗: https://huggingface.co/pszemraj/jamba-900M-v0.13-KIx2
Jamba 900M V0.13 KIx2 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 900M V0.13 KIx2 Parameters and Internals
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| LLM Name | Jamba 900M V0.13 KIx2 |
| Repository 🤗 | https://huggingface.co/pszemraj/jamba-900M-v0.13-KIx2 |
| Model Size | 900m |
| Required VRAM | 1.8 GB |
| Updated | 2025-02-22 |
| Maintainer | pszemraj |
| Model Type | jamba |
| Model Files | |
| Supported Languages | en |
| Model Architecture | JambaForCausalLM |
| License | apache-2.0 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 65024 |
| Torch Data Type | bfloat16 |
Best Alternatives to Jamba 900M V0.13 KIx2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Jamba 900M Doc Writer | 16K / 1.8 GB | 104 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than pszemraj/jamba-900M-v0.13-KIx2 .
Rank the Jamba 900M V0.13 KIx2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227