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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Codestral 2 25.08/on Radeon RX 7600M 8GB

Can it run?

Can Radeon RX 7600M 8GB run Codestral 2 25.08?

FWon't run

Too heavy

Using Q4_K_M in vLLM

Capabilities:

Fit status

Too heavy

Decode

12.7 tok/s

TTFT

15290 ms

Safe context

6K

Memory

20.1 GB / 8.0 GB

Memory breakdown

Weights13.4 GB
KV Cache3.4 GB
Runtime2.4 GB
Headroom0.8 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy12.7 tok/s22240 ms11K
ChatFToo heavy12.7 tok/s8340 ms4K
CodingFToo heavy12.7 tok/s15290 ms6K
RAGFToo heavy12.7 tok/s27800 ms11K
ReasoningFToo heavy12.7 tok/s18070 ms6K

Quantization options

How Codestral 2 25.08 (22B params) fits at each quantization level on Radeon RX 7600M 8GB (8.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
8.6 GB
LowF0
Q3_K_S
3
10.8 GB
LowF0
NVFP4
4
12.3 GB
MediumF0
Q4_K_M
4
13.4 GB
MediumF0
Q5_K_M
5
15.8 GB
HighF0
Q6_K
6
18.0 GB
HighF0
Q8_0
8
23.5 GB
Very HighF0
F16
16
45.1 GB
MaximumF0

Upgrade options

Hardware that runs Codestral 2 25.08 well

AppleMacBook Pro M4 32GBBest value
C6.4 tok/s decode

~$799 MSRP

AMDRX 7900 XTX 24GBBudget pick
C51.5 tok/s decode

~$999 MSRP

NVIDIARTX 5090 32GBBiggest leap
B89.5 tok/s decode

~$1,999 MSRP

AMDAMD Instinct MI100 32GBAMD upgrade
B59.5 tok/s decode

 

See all results for Radeon RX 7600M 8GBSee all hardware for Codestral 2 25.08