Can Solar Open 69B REAP i1 run on NVIDIA GB200 192GB?

YES — Runs Great

C49Usable

Estimated from fit model

Solar Open 69B REAP i1 needs ~70.6 GB VRAM. NVIDIA GB200 192GB has 192.0 GB. With Q4_K_M quantization, expect ~160 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced

Operating mode

Choose the run profile you care about

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 70.6 GB, 159.7 tok/s, Runs well

70.6 GB required192.0 GB available

37% VRAM used

Fit status

Runs well

Decode

159.7 tok/s

TTFT

1213 ms

Safe context

256K

Memory

70.6 GB / 192.0 GB

Memory breakdown

Weights42.1 GB

KV Cache8.1 GB

Runtime1.2 GB

Headroom19.2 GB

See how fast it feels

See how fast it feelsSolar Open 69B REAP i1 on NVIDIA GB200 192GB
1st promptCold start — includes initialization
>What is local AI inference?
Local AI inference means running an AI language model directly on your own hardware — your laptop, desktop, or server — instead of sending requests to a remote cloud API.

When you run inference locally the model weights are loaded into your GPU or unified memory. Each token you generate requires reading those weights from memory, so memory bandwidth is the main bottleneck for decode speed.

Key benefits of running locally:
  - Full privacy: your prompts never leave your machine
  - No per-token cost or rate limits
  - Works offline once the model is downloaded
  - Latency depends only on your hardware
2nd promptWarm — model ready, no init overhead
>How much VRAM do I need?
It depends on the model size and quantization level. A rough rule of thumb:

  Model size     Q4 (4-bit)    Q8 (8-bit)    FP16
  7B params      ~4.3 GB       ~7.5 GB       ~14 GB
  13B params     ~7.9 GB       ~13.9 GB      ~26 GB
  70B params     ~42.7 GB      ~74.9 GB      ~140 GB

Most people use 4-bit quantization (Q4_K_M) which gives 90-95% of full quality at a fraction of the memory. A 24 GB GPU can comfortably run most 7B-13B models.
Estimated: 159.7 tok/s decode · 1.2s TTFT (warm) · 399 tok/s prefill

What limits this setup

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.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	C	Runs well	159.7 tok/s	661 ms	256K
Coding	C	Runs well	159.7 tok/s	1213 ms	256K
Agentic Coding	C	Runs well	159.7 tok/s	1764 ms	256K
Reasoning	C	Runs well	159.7 tok/s	1433 ms	256K
RAG	C	Runs well	159.7 tok/s	2205 ms	256K

Quantization options

How Solar Open 69B REAP i1 (69B params) fits at each quantization level on NVIDIA GB200 192GB (192.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	26.9 GB	Low	D38
Q3_K_S	3	33.8 GB	Low	D39
NVFP4	4	38.6 GB	Medium	D40
Q4_K_M	4	42.1 GB	Medium	D40
Q5_K_M	5	49.7 GB	High	C41
Q6_K	6	56.6 GB	High	C42
Q8_0	8	73.8 GB	Very High	C44
F16Best for your GPU	16	141.5 GB	Maximum	C48

Get started

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 start

Frequently asked questions

Can NVIDIA GB200 192GB run Solar Open 69B REAP i1?

Yes, NVIDIA GB200 192GB can run Solar Open 69B REAP i1 with a C grade (Runs well). Expected decode speed: 159.7 tok/s.

How much VRAM does Solar Open 69B REAP i1 need?

Solar Open 69B REAP i1 (69B parameters) requires approximately 70.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Solar Open 69B REAP i1?

The recommended quantization for Solar Open 69B REAP i1 is Q4_K_M, which balances quality and memory efficiency.

What speed will Solar Open 69B REAP i1 run at on NVIDIA GB200 192GB?

On NVIDIA GB200 192GB, Solar Open 69B REAP i1 achieves approximately 159.7 tokens per second decode speed with a time-to-first-token of 1213ms using Q4_K_M quantization.

Can NVIDIA GB200 192GB run Solar Open 69B REAP i1 for coding?

For coding workloads, Solar Open 69B REAP i1 on NVIDIA GB200 192GB receives a C grade with 159.7 tok/s and 256K context.

What context window can Solar Open 69B REAP i1 use on NVIDIA GB200 192GB?

On NVIDIA GB200 192GB, Solar Open 69B REAP i1 can safely use up to 256K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for NVIDIA GB200 192GB See all hardware for Solar Open 69B REAP i1

Embed this result▼

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<iframe src="https://willitrunai.com/embed/hf-mradermacher--solar-open-69b-reap-i1-gguf-on-gb200-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview:

Workload

Grade

Fit

Decode

TTFT

Context

Chat

Runs well

159.7 tok/s

661 ms

256K

Coding

Runs well

159.7 tok/s

1213 ms

256K

Agentic Coding

Runs well

159.7 tok/s

1764 ms

256K

Reasoning

Runs well

159.7 tok/s

1433 ms

256K

RAG

Runs well

159.7 tok/s

2205 ms

256K

Quantization options

How Solar Open 69B REAP i1 (69B params) fits at each quantization level on NVIDIA GB200 192GB (192.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	26.9 GB	Low	D38
Q3_K_S	3	33.8 GB	Low	D39
NVFP4	4	38.6 GB	Medium	D40
Q4_K_M	4	42.1 GB	Medium	D40
Q5_K_M	5	49.7 GB	High	C41
Q6_K	6	56.6 GB	High	C42
Q8_0	8	73.8 GB	Very High	C44
F16Best for your GPU	16	141.5 GB	Maximum	C48

Frequently asked questions

Can NVIDIA GB200 192GB run Solar Open 69B REAP i1?

Yes, NVIDIA GB200 192GB can run Solar Open 69B REAP i1 with a C grade (Runs well). Expected decode speed: 159.7 tok/s.

How much VRAM does Solar Open 69B REAP i1 need?

Solar Open 69B REAP i1 (69B parameters) requires approximately 70.6 GB of memory with Q4_K_M quantization.

What is the best quantization for Solar Open 69B REAP i1?

The recommended quantization for Solar Open 69B REAP i1 is Q4_K_M, which balances quality and memory efficiency.

What speed will Solar Open 69B REAP i1 run at on NVIDIA GB200 192GB?

On NVIDIA GB200 192GB, Solar Open 69B REAP i1 achieves approximately 159.7 tokens per second decode speed with a time-to-first-token of 1213ms using Q4_K_M quantization.

Can NVIDIA GB200 192GB run Solar Open 69B REAP i1 for coding?

For coding workloads, Solar Open 69B REAP i1 on NVIDIA GB200 192GB receives a C grade with 159.7 tok/s and 256K context.

What context window can Solar Open 69B REAP i1 use on NVIDIA GB200 192GB?

On NVIDIA GB200 192GB, Solar Open 69B REAP i1 can safely use up to 256K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.