BharatGPT 3B Indic — Hardware Requirements & GPU Compatibility
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BharatGPT 3B Indic is a 3.2B-parameter open language model from CoRover. At BF16 it needs about 7.07 GB of VRAM — see which GPUs and Macs can run it below.
233 downloads
67 likesSpecifications
- Publisher
- CoRover
- Parameters
- 3.2B
- Release Date
- 2026-03-06
- License
- Other
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HuggingFace
How Much VRAM Does BharatGPT 3B Indic Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 7.1 GB | — | 6.43 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run BharatGPT 3B Indic?
BF16 · 7.1 GBBharatGPT 3B Indic (BF16) requires 7.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 10+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080.
Runs great
— Plenty of headroom
Which Devices Can Run BharatGPT 3B Indic?
BF16 · 7.1 GB33 devices with unified memory can run BharatGPT 3B Indic, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Air 13" M3 (8 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does BharatGPT 3B Indic need?
BharatGPT 3B Indic requires 7.1 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 3.2B × 16 bits ÷ 8 = 6.4 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF167.1 GB- Can I run BharatGPT 3B Indic on a Mac?
BharatGPT 3B Indic requires at least 7.1 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run BharatGPT 3B Indic locally?
Yes — BharatGPT 3B Indic can run locally on consumer hardware. At BF16 quantization it needs 7.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is BharatGPT 3B Indic?
At BF16, BharatGPT 3B Indic can reach ~412 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~93 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 7.1 × 0.55 = ~412 tok/s
Estimated speed at BF16 (7.1 GB)
~412 tok/s~93 tok/s~308 tok/s~255 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of BharatGPT 3B Indic?
At BF16, the download is about 6.43 GB.
- Which GPUs can run BharatGPT 3B Indic?
35 consumer GPUs can run BharatGPT 3B Indic at BF16 (7.1 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 7600. 27 GPUs have plenty of headroom for comfortable inference.
- Which devices can run BharatGPT 3B Indic?
33 devices with unified memory can run BharatGPT 3B Indic at BF16 (7.1 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.