Neural Chat 7B v3 3 — Hardware Requirements & GPU Compatibility
ChatMath
Neural Chat 7B v3 3 is a 7.2B-parameter open language model from Intel. It supports a context window of up to 32,768 tokens. At Q4_K_M it needs about 4.91 GB of VRAM — see which GPUs and Macs can run it below.
4.8K downloads
83 likesSpecifications
- Publisher
- Intel
- Parameters
- 7.2B
- Architecture
- MistralForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 32,000
- Release Date
- 2023-12-09
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Neural Chat 7B v3 3 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 3.6 GB | 7.7 GB | 3.08 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 4.1 GB | 8.1 GB | 3.53 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 4.9 GB | 8.9 GB | 4.35 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 5.7 GB | 9.8 GB | 5.16 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 6.5 GB | 10.6 GB | 5.97 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 7.8 GB | 11.8 GB | 7.24 GB | 8-bit quantization, near-lossless |
| FP16est. | 16.00 | 15.1 GB | 19.1 GB | 14.48 GB | Full half-precision — baseline for inference |
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 Neural Chat 7B v3 3?
Q4_K_M · 4.9 GBNeural Chat 7B v3 3 (Q4_K_M) requires 4.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. Using the full 33K context window can add up to 4.0 GB, bringing total usage to 8.9 GB. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Neural Chat 7B v3 3?
Q4_K_M · 4.9 GB59 devices with unified memory can run Neural Chat 7B v3 3, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Apple iPhone 17 Pro.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Neural Chat 7B v3 3 need?
Neural Chat 7B v3 3 requires 4.9 GB of VRAM at Q4_K_M, or 15.1 GB at FP16. Full 33K context adds up to 4.0 GB (8.9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.2B × 4.8 bits ÷ 8 = 4.3 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
Q4_K_M4.9 GBQ4_K_M + full context8.9 GB- What's the best quantization for Neural Chat 7B v3 3?
For Neural Chat 7B v3 3, Q4_K_M (4.9 GB) offers the best balance of quality and VRAM usage. Q5_K_M (5.7 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 3.6 GB.
VRAM requirement by quantization
Q2_K3.6 GBQ4_K_M ★4.9 GBQ5_K_M5.7 GBQ6_K6.5 GBQ8_07.8 GBFP1615.1 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Neural Chat 7B v3 3 on a Mac?
Neural Chat 7B v3 3 requires at least 3.6 GB at Q2_K, 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 Neural Chat 7B v3 3 locally?
Yes — Neural Chat 7B v3 3 can run locally on consumer hardware. At Q4_K_M quantization it needs 4.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Neural Chat 7B v3 3?
At Q4_K_M, Neural Chat 7B v3 3 can reach ~896 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~133 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 ÷ 4.9 × 0.65 = ~1059 tok/s
Estimated speed at Q4_K_M (4.9 GB)
~1059 tok/s~133 tok/s~1059 tok/s~896 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Neural Chat 7B v3 3?
At Q4_K_M, the download is about 4.35 GB. The full-precision FP16 version is 14.48 GB. The smallest option (Q2_K) is 3.08 GB.
- Which GPUs can run Neural Chat 7B v3 3?
50 consumer GPUs can run Neural Chat 7B v3 3 at Q4_K_M (4.9 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 50 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Neural Chat 7B v3 3?
59 devices with unified memory can run Neural Chat 7B v3 3 at Q4_K_M (4.9 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.