Mradermacher
Solar Open 69B REAP i1 (69B parameters) requires approximately 52.0 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 60 GB of VRAM.
Quick specs
Related models
Inference speed
Estimated decode speed (tokens/sec) for Solar Open 69B REAP i1 at Q4_K_M across popular GPUs and Apple Silicon, including multi-GPU rigs, using the fastest local runtime per device. Fastest is 2× RX 7900 XTX 24GB at ~15 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
2× RX 7900 XTX 24GB | 48 GB | Q4_K_M | 15.2 | Heavy offload |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 14.3 | Fits |
Mac Studio M3 Ultra 256GB | 256 GB | Q4_K_M | 13.2 | Fits |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 11.0 | Fits |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 10.5 | Fits |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 10.2 | Too big |
 2× RTX 4090 24GB | 48 GB | Q4_K_M | 8.0 | Heavy offload |
| RTX 5090 32GB | 32 GB | Q4_K_M | 7.3 | Too big |
| 2× RTX 3090 24GB | 48 GB | Q4_K_M | 7.3 | Heavy offload |
| 4× RTX 3060 12GB | 48 GB | Q4_K_M | 6.5 | Heavy offload |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 4.8 | Too big |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 4.1 | Too big |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 3.8 | Too big |
| RTX 4090 24GB | 24 GB | Q4_K_M | 2.7 | Too big |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 2.5 | Too big |
| RTX 3090 24GB | 24 GB | Q4_K_M | 2.3 | Too big |
| RTX 4080 Super 16GB | 16 GB | Q4_K_M | 2.2 | Too big |
| RTX 4070 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 3060 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 4060 8GB | 8 GB | Q4_K_M | 2.0 | Too big |
Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
Quick picks
Best hardware
Run this model
Quantization
How much VRAM Solar Open 69B REAP i1 (69B) needs at each GGUF quant, and whether it fits a 24 GB card (RTX 4090 / 3090). The recommended Q4_K_M uses ~42.1 GB — about 43% less VRAM than Q8_0, at a small quality cost.
| Quant | Bits | VRAM (weights) | Quality | Fits 24 GB? |
|---|---|---|---|---|
| Q2_K | 2 | 26.9 GB | Low | Too big |
| Q3_K_S | 3 | 33.8 GB | Low | Too big |
| NVFP4 | 4 | 38.6 GB | Medium | Too big |
| Q4_K_Mrecommended | 4 | 42.1 GB | Medium | Too big |
| Q5_K_M | 5 | 49.7 GB | High | Too big |
| Q6_K | 6 | 56.6 GB | High | Too big |
| Q8_0 | 8 | 73.8 GB | Very High | Too big |
| F16 | 16 | 141.5 GB | Maximum | Too big |
VRAM shown is quantized weights only; add ~1–3 GB runtime overhead plus KV cache for your context length. Lower quants trade quality for memory — Q4_K_M is the usual sweet spot; Q2/Q3 only when you must fit a bigger model.
Hardware compatibility
Computing compatibility...
Memory breakdown
Frequently asked questions
Solar Open 69B REAP i1 (69B parameters) requires approximately 52.0 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, MacBook Pro M3 Max 128GB can run Solar Open 69B REAP i1 with a compatibility score of 48/100. It provides 128 GB of memory and achieves approximately 5.7 tokens per second.
The recommended quantization for Solar Open 69B REAP i1 is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for Solar Open 69B REAP i1: NVIDIA H100 80GB (score: 56/100), NVIDIA H800 80GB (score: 55/100), NVIDIA GH200 96GB (score: 55/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, Solar Open 69B REAP i1 is well-suited for chat. It was designed with these use cases in mind.
See also
