Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/sarvamai/sarvam-0.5
Sarvam 0.5 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)
Sarvam 0.5 Parameters and Internals
| LLM Name | Sarvam 0.5 |
| Repository 🤗 | https://huggingface.co/sarvamai/sarvam-0.5 |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2025-09-23 |
| Maintainer | sarvamai |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.44.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 64128 |
| Torch Data Type | bfloat16 |
Best Alternatives to Sarvam 0.5
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 2B Hf 32768 Fpf | 32K / 3.8 GB | 9 | 1 |
| ...icpm 2B Sft Bf16 Llamafied 16K | 16K / 6 GB | 560 | 1 |
| Salamandra 2B Fft Trenes | 8K / 4.5 GB | 32 | 0 |
| SmolLM2 MedIT Upscale 2B | 8K / 4.2 GB | 1 | 5 |
| Salamandra 2B Instruct | 8K / 4.5 GB | 3068 | 24 |
| ScrapeGoat Music Stage2 | 8K / 3.9 GB | 4 | 1 |
| Salamandra 2B | 8K / 4.5 GB | 1733 | 23 |
| Sarvam 2B V0.5 | 8K / 5.1 GB | 1007 | 86 |
| Llama3 2B Base | 8K / 4.7 GB | 852 | 1 |
| Test Quantized | 8K / 5.8 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sarvamai/sarvam-0.5 .
Rank the Sarvam 0.5 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124