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
- 2024-11-19
- 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 |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 7.1 GB | — | 6.43 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
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. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run BharatGPT 3B Indic?
BF16 · 7.1 GB55 devices with unified memory can run BharatGPT 3B Indic, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, iPad Pro M5 13" (16 GB).
Runs great
— Plenty of headroomRelated 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 ~622 tok/s on AMD Instinct MI350X. 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: NVIDIA B200 → 8000 ÷ 7.1 × 0.65 = ~736 tok/s
Estimated speed at BF16 (7.1 GB)
~736 tok/s~93 tok/s~736 tok/s~622 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?
50 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. 37 GPUs have plenty of headroom for comfortable inference.
- Which devices can run BharatGPT 3B Indic?
59 devices with unified memory can run BharatGPT 3B Indic at BF16 (7.1 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.