Trendyol LLM 7B Base v1.0 — Hardware Requirements & GPU Compatibility
Chat
Trendyol LLM 7B Base v1.0 is a 7.3B-parameter open language model from Trendyol. It supports a context window of up to 32,768 tokens. At Q4_K_M it needs about 4.97 GB of VRAM — see which GPUs and Macs can run it below.
57 downloads
16 likesSpecifications
- Publisher
- Trendyol
- Parameters
- 7.3B
- Architecture
- MistralForCausalLM
- Context Length
- 32,768 tokens
- Vocabulary Size
- 44,312
- Release Date
- 2024-03-05
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Trendyol LLM 7B Base v1.0 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 3.7 GB | 7.7 GB | 3.12 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 4.2 GB | 8.2 GB | 3.58 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 5.0 GB | 9 GB | 4.41 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 5.8 GB | 9.8 GB | 5.23 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 6.6 GB | 10.7 GB | 6.06 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 7.9 GB | 11.9 GB | 7.34 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 15.3 GB | 19.3 GB | 14.69 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 Trendyol LLM 7B Base v1.0?
Q4_K_M · 5.0 GBTrendyol LLM 7B Base v1.0 (Q4_K_M) requires 5.0 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 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 Trendyol LLM 7B Base v1.0?
Q4_K_M · 5.0 GB59 devices with unified memory can run Trendyol LLM 7B Base v1.0, 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 Trendyol LLM 7B Base v1.0 need?
Trendyol LLM 7B Base v1.0 requires 5.0 GB of VRAM at Q4_K_M, or 15.3 GB at BF16. Full 33K context adds up to 4.0 GB (9 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.3B × 4.8 bits ÷ 8 = 4.4 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_M5.0 GBQ4_K_M + full context9.0 GB- What's the best quantization for Trendyol LLM 7B Base v1.0?
For Trendyol LLM 7B Base v1.0, Q4_K_M (5.0 GB) offers the best balance of quality and VRAM usage. Q5_K_M (5.8 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 3.7 GB.
VRAM requirement by quantization
Q2_K3.7 GBQ4_K_M ★5.0 GBQ5_K_M5.8 GBQ6_K6.6 GBQ8_07.9 GBBF1615.3 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run Trendyol LLM 7B Base v1.0 on a Mac?
Trendyol LLM 7B Base v1.0 requires at least 3.7 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 Trendyol LLM 7B Base v1.0 locally?
Yes — Trendyol LLM 7B Base v1.0 can run locally on consumer hardware. At Q4_K_M quantization it needs 5.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Trendyol LLM 7B Base v1.0?
At Q4_K_M, Trendyol LLM 7B Base v1.0 can reach ~885 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~132 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 ÷ 5.0 × 0.65 = ~1046 tok/s
Estimated speed at Q4_K_M (5.0 GB)
~1046 tok/s~132 tok/s~1046 tok/s~885 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Trendyol LLM 7B Base v1.0?
At Q4_K_M, the download is about 4.41 GB. The full-precision BF16 version is 14.69 GB. The smallest option (Q2_K) is 3.12 GB.
- Which GPUs can run Trendyol LLM 7B Base v1.0?
50 consumer GPUs can run Trendyol LLM 7B Base v1.0 at Q4_K_M (5.0 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 Trendyol LLM 7B Base v1.0?
59 devices with unified memory can run Trendyol LLM 7B Base v1.0 at Q4_K_M (5.0 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.