Solar Open 69B REAP i1 needs ~76.7 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~104 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
104.1 tok/s
TTFT
1860 ms
Safe context
371K
Memory
76.7 GB / 256.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 104.1 tok/s | 1015 ms | 371K |
| Coding | C | Runs well | 104.1 tok/s | 1860 ms | 371K |
| Agentic Coding | C | Runs well | 104.1 tok/s | 2706 ms | 371K |
| Reasoning | C | Runs well | 104.1 tok/s | 2199 ms | 371K |
| RAG | C | Runs well | 104.1 tok/s | 3383 ms | 371K |
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 |
| 48 GB | Q4_K_M | 8.0 | Heavy offload | |
| 32 GB | Q4_K_M | 7.3 | Too big | |
| 48 GB | Q4_K_M | 7.3 | Heavy offload | |
| 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 |
| 24 GB | Q4_K_M | 2.7 | Too big | |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 2.5 | Too big |
| 24 GB | Q4_K_M | 2.3 | Too big | |
| 16 GB | Q4_K_M | 2.2 | Too big | |
| 12 GB | Q4_K_M | 2.0 | Too big | |
| 12 GB | Q4_K_M | 2.0 | Too big | |
| 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.
How Solar Open 69B REAP i1 (69B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 26.9 GB | Low | D37 |
Q3_K_S | 3 | 33.8 GB | Low | D38 |
NVFP4 | 4 | 38.6 GB | Medium | D38 |
Q4_K_M | 4 | 42.1 GB | Medium | D39 |
Q5_K_M | 5 | 49.7 GB | High | D39 |
Q6_K | 6 | 56.6 GB | High | D40 |
Q8_0 | 8 | 73.8 GB | Very High | C41 |
F16Best for your GPU | 16 | 141.5 GB | Maximum | C47 |
Copy-paste commands to run Solar Open 69B REAP i1 on your machine.
Run
lms load hf-mradermacher--solar-open-69b-reap-i1-gguf && lms server startYes, AMD Instinct MI325X 256GB can run Solar Open 69B REAP i1 with a C grade (Runs well). Expected decode speed: 104.1 tok/s.
Solar Open 69B REAP i1 (69B parameters) requires approximately 76.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Solar Open 69B REAP i1 is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI325X 256GB, Solar Open 69B REAP i1 achieves approximately 104.1 tokens per second decode speed with a time-to-first-token of 1860ms using Q4_K_M quantization.
For coding workloads, Solar Open 69B REAP i1 on AMD Instinct MI325X 256GB receives a C grade with 104.1 tok/s and 371K context.
On AMD Instinct MI325X 256GB, Solar Open 69B REAP i1 can safely use up to 371K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
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