Chronicle Qwen2.5 7B — Hardware Requirements & GPU Compatibility
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2 downloads
2 likesSpecifications
- Publisher
- ClaudioItaly
- Family
- Qwen 2.5
- Parameters
- 7.6B
- Architecture
- Qwen2ForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 152,064
- Release Date
- 2025-04-20
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HuggingFace
How Much VRAM Does Chronicle Qwen2.5 7B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q3_K_S | 3.50 | 3.8 GB | 11.2 GB | 3.33 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 4.1 GB | 11.5 GB | 3.71 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 4.2 GB | 11.6 GB | 3.81 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 5.0 GB | 12.4 GB | 4.57 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 5.8 GB | 13.2 GB | 5.43 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 6.7 GB | 14.1 GB | 6.28 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 8.0 GB | 15.4 GB | 7.62 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Chronicle Qwen2.5 7B?
Q4_K_M · 5.0 GBChronicle Qwen2.5 7B (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 131K context window can add up to 7.4 GB, bringing total usage to 12.4 GB. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Chronicle Qwen2.5 7B?
Q4_K_M · 5.0 GB33 devices with unified memory can run Chronicle Qwen2.5 7B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Chronicle Qwen2.5 7B need?
Chronicle Qwen2.5 7B requires 5.0 GB of VRAM at Q4_K_M, or 8.0 GB at Q8_0. Full 131K context adds up to 7.4 GB (12.4 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 7.6B × 4.8 bits ÷ 8 = 4.6 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 7.8 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M5.0 GBQ4_K_M + full context12.4 GB- What's the best quantization for Chronicle Qwen2.5 7B?
For Chronicle Qwen2.5 7B, Q4_K_M (5.0 GB) offers the best balance of quality and VRAM usage. Q5_0 (5.2 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 2.5 GB.
VRAM requirement by quantization
IQ2_XXS2.5 GB~53%IQ3_XS3.6 GB~73%Q4_04.2 GB~85%Q4_K_M ★5.0 GB~89%Q5_05.2 GB~90%Q8_08.0 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Chronicle Qwen2.5 7B on a Mac?
Chronicle Qwen2.5 7B requires at least 2.5 GB at IQ2_XXS, 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 Chronicle Qwen2.5 7B locally?
Yes — Chronicle Qwen2.5 7B 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 Chronicle Qwen2.5 7B?
At Q4_K_M, Chronicle Qwen2.5 7B can reach ~584 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~131 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 ÷ 5.0 × 0.55 = ~584 tok/s
Estimated speed at Q4_K_M (5.0 GB)
AMD Instinct MI300X~584 tok/sNVIDIA GeForce RTX 4090~131 tok/sNVIDIA H100 SXM~437 tok/sAMD Instinct MI250X~361 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Chronicle Qwen2.5 7B?
At Q4_K_M, the download is about 4.57 GB. The full-precision Q8_0 version is 7.62 GB. The smallest option (IQ2_XXS) is 2.09 GB.
- Which GPUs can run Chronicle Qwen2.5 7B?
35 consumer GPUs can run Chronicle Qwen2.5 7B at Q4_K_M (5.0 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 35 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Chronicle Qwen2.5 7B?
33 devices with unified memory can run Chronicle Qwen2.5 7B at Q4_K_M (5.0 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.