Technical Analysis Unsloth v3 — Hardware Requirements & GPU Compatibility
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Technical Analysis Unsloth v3 is a 7.5B-parameter open language model from Hungry-Socrates. It supports a context window of up to 32,768 tokens. At BF16 it needs about 15.49 GB of VRAM — see which GPUs and Macs can run it below.
183 downloads
3 likesSpecifications
- Publisher
- Hungry-Socrates
- Parameters
- 7.5B
- Architecture
- MistralForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 32,000
- Release Date
- 2024-03-23
- License
- Apache 2.0
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How Much VRAM Does Technical Analysis Unsloth v3 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 15.5 GB | 19.5 GB | 14.92 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Technical Analysis Unsloth v3?
BF16 · 15.5 GBTechnical Analysis Unsloth v3 (BF16) requires 15.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 21+ GB is recommended. Using the full 33K context window can add up to 4.0 GB, bringing total usage to 19.5 GB. 17 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 5080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Technical Analysis Unsloth v3?
BF16 · 15.5 GB27 devices with unified memory can run Technical Analysis Unsloth v3, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 (16 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Technical Analysis Unsloth v3 need?
Technical Analysis Unsloth v3 requires 15.5 GB of VRAM at BF16. Full 33K context adds up to 4.0 GB (19.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.5B × 16 bits ÷ 8 = 14.9 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 4.6 GB (at full 33K context)
VRAM usage by quantization
BF1615.5 GBBF16 + full context19.5 GB- Can I run Technical Analysis Unsloth v3 on a Mac?
Technical Analysis Unsloth v3 requires at least 15.5 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 Technical Analysis Unsloth v3 locally?
Yes — Technical Analysis Unsloth v3 can run locally on consumer hardware. At BF16 quantization it needs 15.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Technical Analysis Unsloth v3?
At BF16, Technical Analysis Unsloth v3 can reach ~188 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~42 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 ÷ 15.5 × 0.55 = ~188 tok/s
Estimated speed at BF16 (15.5 GB)
~188 tok/s~42 tok/s~141 tok/s~116 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Technical Analysis Unsloth v3?
At BF16, the download is about 14.92 GB.
- Which GPUs can run Technical Analysis Unsloth v3?
17 consumer GPUs can run Technical Analysis Unsloth v3 at BF16 (15.5 GB). Top options include AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3090 Ti, AMD Radeon RX 6800. 5 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Technical Analysis Unsloth v3?
27 devices with unified memory can run Technical Analysis Unsloth v3 at BF16 (15.5 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.