Mihenk LLM v2 35B A3B Turkish Financial Model — Hardware Requirements & GPU Compatibility
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Mihenk LLM v2 35B A3B Turkish Financial Model is a 34.7B-parameter open language model from AlicanKiraz0. It supports a context window of up to 262,144 tokens. At Q4_K_M it needs about 21.18 GB of VRAM — see which GPUs and Macs can run it below.
164 downloads
18 likesSpecifications
- Publisher
- AlicanKiraz0
- Parameters
- 34.7B
- Architecture
- Qwen3_5MoeForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-05-02
- License
- Apache 2.0
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How Much VRAM Does Mihenk LLM v2 35B A3B Turkish Financial Model Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 15.1 GB | 25.8 GB | 14.73 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 17.3 GB | 27.9 GB | 16.90 GB | 3-bit medium quantization |
| Q4_K_M | 4.80 | 21.2 GB | 31.8 GB | 20.80 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 25.1 GB | 35.7 GB | 24.70 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 29.0 GB | 39.6 GB | 28.60 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 35.0 GB | 45.7 GB | 34.66 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 69.7 GB | 80.4 GB | 69.32 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 Mihenk LLM v2 35B A3B Turkish Financial Model?
Q4_K_M · 21.2 GBMihenk LLM v2 35B A3B Turkish Financial Model (Q4_K_M) requires 21.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 28+ GB is recommended. Using the full 262K context window can add up to 10.6 GB, bringing total usage to 31.8 GB. 7 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Which Devices Can Run Mihenk LLM v2 35B A3B Turkish Financial Model?
Q4_K_M · 21.2 GB41 devices with unified memory can run Mihenk LLM v2 35B A3B Turkish Financial Model, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightWhere to Download Mihenk LLM v2 35B A3B Turkish Financial Model
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
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Frequently Asked Questions
- How much VRAM does Mihenk LLM v2 35B A3B Turkish Financial Model need?
Mihenk LLM v2 35B A3B Turkish Financial Model requires 21.2 GB of VRAM at Q4_K_M, or 69.7 GB at BF16. Full 262K context adds up to 10.6 GB (31.8 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 34.7B × 4.8 bits ÷ 8 = 20.8 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 11 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M21.2 GBQ4_K_M + full context31.8 GB- Can NVIDIA GeForce RTX 4090 run Mihenk LLM v2 35B A3B Turkish Financial Model?
Yes, at Q4_K_M (21.2 GB) or lower. Higher quantizations like Q5_K_M (25.1 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for Mihenk LLM v2 35B A3B Turkish Financial Model?
For Mihenk LLM v2 35B A3B Turkish Financial Model, Q4_K_M (21.2 GB) offers the best balance of quality and VRAM usage. Q5_K_M (25.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 15.1 GB.
VRAM requirement by quantization
Q2_K15.1 GBQ4_K_M ★21.2 GBQ5_K_M25.1 GBQ6_K29.0 GBQ8_035.0 GBBF1669.7 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Mihenk LLM v2 35B A3B Turkish Financial Model on a Mac?
Mihenk LLM v2 35B A3B Turkish Financial Model requires at least 15.1 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 Mihenk LLM v2 35B A3B Turkish Financial Model locally?
Yes — Mihenk LLM v2 35B A3B Turkish Financial Model can run locally on consumer hardware. At Q4_K_M quantization it needs 21.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Mihenk LLM v2 35B A3B Turkish Financial Model?
At Q4_K_M, Mihenk LLM v2 35B A3B Turkish Financial Model can reach ~208 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~31 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 ÷ 21.2 × 0.65 = ~246 tok/s
Estimated speed at Q4_K_M (21.2 GB)
~246 tok/s~31 tok/s~246 tok/s~208 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Mihenk LLM v2 35B A3B Turkish Financial Model?
At Q4_K_M, the download is about 20.80 GB. The full-precision BF16 version is 69.32 GB. The smallest option (Q2_K) is 14.73 GB.
- Which GPUs can run Mihenk LLM v2 35B A3B Turkish Financial Model?
7 consumer GPUs can run Mihenk LLM v2 35B A3B Turkish Financial Model at Q4_K_M (21.2 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run Mihenk LLM v2 35B A3B Turkish Financial Model?
41 devices with unified memory can run Mihenk LLM v2 35B A3B Turkish Financial Model at Q4_K_M (21.2 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (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.