Arxiv:2507.13390 Base model:bharatgenai/param-1 Base model:finetune:bharatgena... Conversational Custom code En Hi Instruct Parambharatgen Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/bharatgenai/Param-1-2.9B-Instruct
Param 1 2.9B Instruct 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)
Param 1 2.9B Instruct Parameters and Internals
| LLM Name | Param 1 2.9B Instruct |
| Repository 🤗 | https://huggingface.co/bharatgenai/Param-1-2.9B-Instruct |
| Base Model(s) | |
| Model Size | 2.9b |
| Required VRAM | 11.5 GB |
| Updated | 2025-08-31 |
| Maintainer | bharatgenai |
| Model Type | parambharatgen |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | hi en |
| Model Architecture | ParamBharatGenForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.53.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | </s> |
| Vocabulary Size | 256002 |
| Torch Data Type | float32 |
Best Alternatives to Param 1 2.9B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| AyurParam | 2K / 11.5 GB | 16 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than bharatgenai/Param-1-2.9B-Instruct .
Rank the Param 1 2.9B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124