Ehartford WizardLM Uncensored Falcon 40B GGUF — Hardware Requirements & GPU Compatibility
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Ehartford WizardLM Uncensored Falcon 40B GGUF is a 40B-parameter open language model from maddes8cht in the Falcon family. At Q4_K_M it needs about 26.40 GB of VRAM — see which GPUs and Macs can run it below.
1.8K downloads
14 likesSpecifications
- Publisher
- maddes8cht
- Family
- Falcon
- Parameters
- 40B
- License
- Apache 2.0
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How Much VRAM Does Ehartford WizardLM Uncensored Falcon 40B GGUF Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 18.7 GB | — | 17.00 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 19.3 GB | — | 17.50 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 21.4 GB | — | 19.50 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 22 GB | — | 20.00 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 26.4 GB | — | 24.00 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 31.4 GB | — | 28.50 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 36.3 GB | — | 33.00 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 44 GB | — | 40.00 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Ehartford WizardLM Uncensored Falcon 40B GGUF?
Q4_K_M · 26.4 GBEhartford WizardLM Uncensored Falcon 40B GGUF (Q4_K_M) requires 26.4 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 35+ GB is recommended. 1 GPU can run it, including NVIDIA GeForce RTX 5090.
All compatible consumer-level GPUs are running near their VRAM limit. You may also want to consider professional GPUs (e.g., NVIDIA A100, H100) which offer significantly more VRAM. For more headroom and better throughput, consider a multi-GPU configuration with tensor parallelism (supported by tools like vLLM, llama.cpp, or text-generation-inference).
Decent
— Enough VRAM, may be tightWhich Devices Can Run Ehartford WizardLM Uncensored Falcon 40B GGUF?
Q4_K_M · 26.4 GB15 devices with unified memory can run Ehartford WizardLM Uncensored Falcon 40B GGUF, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (36 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Ehartford WizardLM Uncensored Falcon 40B GGUF need?
Ehartford WizardLM Uncensored Falcon 40B GGUF requires 26.4 GB of VRAM at Q4_K_M, or 44 GB at Q8_0.
VRAM = Weights + KV Cache + Overhead
Weights = 40B × 4.8 bits ÷ 8 = 24 GB
KV Cache + Overhead ≈ 2.4 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M26.4 GB- Can NVIDIA GeForce RTX 4090 run Ehartford WizardLM Uncensored Falcon 40B GGUF?
Yes, at Q3_K_L (22.6 GB) or lower. Higher quantizations like Q4_1 (24.8 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for Ehartford WizardLM Uncensored Falcon 40B GGUF?
For Ehartford WizardLM Uncensored Falcon 40B GGUF, Q4_K_M (26.4 GB) offers the best balance of quality and VRAM usage. Q5_0 (27.5 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 18.7 GB.
VRAM requirement by quantization
Q2_K18.7 GBQ4_022.0 GBQ4_K_M ★26.4 GBQ5_027.5 GBQ5_K_S30.3 GBQ8_044.0 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Ehartford WizardLM Uncensored Falcon 40B GGUF on a Mac?
Ehartford WizardLM Uncensored Falcon 40B GGUF requires at least 18.7 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 Ehartford WizardLM Uncensored Falcon 40B GGUF locally?
Yes — Ehartford WizardLM Uncensored Falcon 40B GGUF can run locally on consumer hardware. At Q4_K_M quantization it needs 26.4 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Ehartford WizardLM Uncensored Falcon 40B GGUF?
At Q4_K_M, Ehartford WizardLM Uncensored Falcon 40B GGUF can reach ~110 tok/s on AMD Instinct MI300X. 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 ÷ 26.4 × 0.55 = ~110 tok/s
Estimated speed at Q4_K_M (26.4 GB)
~110 tok/s~83 tok/s~68 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Ehartford WizardLM Uncensored Falcon 40B GGUF?
At Q4_K_M, the download is about 24.00 GB. The full-precision Q8_0 version is 40.00 GB. The smallest option (Q2_K) is 17.00 GB.
- Which GPUs can run Ehartford WizardLM Uncensored Falcon 40B GGUF?
1 consumer GPU can run Ehartford WizardLM Uncensored Falcon 40B GGUF at Q4_K_M (26.4 GB). Top options include NVIDIA GeForce RTX 5090.
- Which devices can run Ehartford WizardLM Uncensored Falcon 40B GGUF?
15 devices with unified memory can run Ehartford WizardLM Uncensored Falcon 40B GGUF at Q4_K_M (26.4 GB), including Mac Mini M4 (32 GB), Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.