aya expanse 8b orthogonal heretic needs ~8.6 GB VRAM. RTX 4090 Laptop 16GB has 16.0 GB. With Q4_K_M quantization, expect ~94 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
94.4 tok/s
TTFT
2050 ms
Safe context
142K
Memory
8.6 GB / 16.0 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 | 94.4 tok/s | 1118 ms | 142K |
| Coding | C | Runs well | 94.4 tok/s | 2050 ms | 142K |
| Agentic Coding | C | Runs well | 94.4 tok/s | 2982 ms | 142K |
| Reasoning | C | Runs well | 94.4 tok/s | 2423 ms | 142K |
| RAG | C | Runs well | 94.4 tok/s | 3728 ms | 142K |
How aya expanse 8b orthogonal heretic (8B params) fits at each quantization level on RTX 4090 Laptop 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C47 |
Q3_K_S | 3 | 3.9 GB | Low | C47 |
NVFP4 | 4 | 4.5 GB | Medium | C48 |
Q4_K_M | 4 | 4.9 GB | Medium | C48 |
Q5_K_M | 5 | 5.8 GB | High | C49 |
Q6_K | 6 | 6.6 GB | High | C50 |
Q8_0Best for your GPU | 8 | 8.6 GB | Very High | C51 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run aya expanse 8b orthogonal heretic on your machine.
Run
lms load hf-mradermacher--aya-expanse-8b-orthogonal-heretic-gguf && lms server startYes, RTX 4090 Laptop 16GB can run aya expanse 8b orthogonal heretic with a C grade (Runs well). Expected decode speed: 94.4 tok/s.
aya expanse 8b orthogonal heretic (8B parameters) requires approximately 8.6 GB of memory with Q4_K_M quantization.
The recommended quantization for aya expanse 8b orthogonal heretic is Q4_K_M, which balances quality and memory efficiency.
On RTX 4090 Laptop 16GB, aya expanse 8b orthogonal heretic achieves approximately 94.4 tokens per second decode speed with a time-to-first-token of 2050ms using Q4_K_M quantization.
For coding workloads, aya expanse 8b orthogonal heretic on RTX 4090 Laptop 16GB receives a C grade with 94.4 tok/s and 142K context.
On RTX 4090 Laptop 16GB, aya expanse 8b orthogonal heretic can safely use up to 142K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
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