Will It Run AI

Can Solar Open 69B REAP i1 run on AMD Instinct MI300A 128GB?

YES — Runs Great

C52Usable
Estimated from fit model

Solar Open 69B REAP i1 needs ~63.9 GB VRAM. AMD Instinct MI300A 128GB has 128.0 GB. With Q4_K_M quantization, expect ~88 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
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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) — 63.9 GB, 88.1 tok/s, Runs well
63.9 GB required128.0 GB available
50% VRAM used

Fit status

Runs well

Decode

88.1 tok/s

TTFT

2196 ms

Safe context

143K

Memory

63.9 GB / 128.0 GB

Memory breakdown

Weights42.1 GB
KV Cache8.1 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsSolar Open 69B REAP i1 on AMD Instinct MI300A 128GB
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: 88.1 tok/s decode · 2.2s TTFT (warm) · 220 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

WorkloadGradeFitDecodeTTFTContext
ChatCRuns well88.1 tok/s1198 ms143K
CodingCRuns well88.1 tok/s2196 ms143K
Agentic CodingCRuns well88.1 tok/s3195 ms143K
ReasoningCRuns well88.1 tok/s2596 ms143K
RAGCRuns well88.1 tok/s3993 ms143K

Quantization options

How Solar Open 69B REAP i1 (69B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
26.9 GB
LowC40
Q3_K_S
3
33.8 GB
LowC41
NVFP4
4
38.6 GB
MediumC42
Q4_K_M
4
42.1 GB
MediumC43
Q5_K_M
5
49.7 GB
HighC44
Q6_K
6
56.6 GB
HighC45
Q8_0Best for your GPU
8
73.8 GB
Very HighC48
F16
16
141.5 GB
MaximumF0

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 AMD Instinct MI300A 128GB run Solar Open 69B REAP i1?

Yes, AMD Instinct MI300A 128GB can run Solar Open 69B REAP i1 with a C grade (Runs well). Expected decode speed: 88.1 tok/s.

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

Solar Open 69B REAP i1 (69B parameters) requires approximately 63.9 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 AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, Solar Open 69B REAP i1 achieves approximately 88.1 tokens per second decode speed with a time-to-first-token of 2196ms using Q4_K_M quantization.

Can AMD Instinct MI300A 128GB run Solar Open 69B REAP i1 for coding?

For coding workloads, Solar Open 69B REAP i1 on AMD Instinct MI300A 128GB receives a C grade with 88.1 tok/s and 143K context.

What context window can Solar Open 69B REAP i1 use on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, Solar Open 69B REAP i1 can safely use up to 143K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for AMD Instinct MI300A 128GBSee all hardware for Solar Open 69B REAP i1
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