aya expanse 8b orthogonal heretic i1 needs ~7.8 GB VRAM. RTX 5050 8GB has 8.0 GB. With Q4_K_M quantization, expect ~39 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 with offload
Decode
38.6 tok/s
TTFT
5021 ms
Safe context
19K
Memory
7.8 GB / 8.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 38.6 tok/s | 2739 ms | 19K |
| Coding | C | Runs with offload | 38.6 tok/s | 5021 ms | 19K |
| Agentic Coding | D | Very compromised (needs ~0.4 GB host RAM) | 24.5 tok/s | 11480 ms | 19K |
| Reasoning | C | Runs with offload | 38.6 tok/s | 5934 ms | 19K |
| RAG | D | Very compromised (needs ~0.4 GB host RAM) | 24.5 tok/s | 14350 ms | 19K |
How aya expanse 8b orthogonal heretic i1 (8B params) fits at each quantization level on RTX 5050 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C53 |
Q3_K_S | 3 | 3.9 GB | Low | C53 |
NVFP4 | 4 | 4.5 GB | Medium | C53 |
Q4_K_MBest for your GPU | 4 | 4.9 GB | Medium | C53 |
Q5_K_M | 5 | 5.8 GB | High | F0 |
Q6_K | 6 | 6.6 GB | High | F0 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Copy-paste commands to run aya expanse 8b orthogonal heretic i1 on your machine.
Run
lms load hf-mradermacher--aya-expanse-8b-orthogonal-heretic-i1-gguf && lms server startOpciones de mejora
RTX 3060 12GBOpción económicaSube la velocidad estimada de decodificación alrededor de un 26%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$329 MSRP
RTX 5060 Ti 16GBMejor relación calidad-precioSube la velocidad estimada de decodificación alrededor de un 47%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$449 MSRP
RTX 5070 12GBMejora NVIDIASube la velocidad estimada de decodificación alrededor de un 125%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$549 MSRP
Yes, RTX 5050 8GB can run aya expanse 8b orthogonal heretic i1 with a C grade (Runs with offload). Expected decode speed: 38.6 tok/s.
aya expanse 8b orthogonal heretic i1 (8B parameters) requires approximately 7.8 GB of memory with Q4_K_M quantization.
The recommended quantization for aya expanse 8b orthogonal heretic i1 is Q4_K_M, which balances quality and memory efficiency.
On RTX 5050 8GB, aya expanse 8b orthogonal heretic i1 achieves approximately 38.6 tokens per second decode speed with a time-to-first-token of 5021ms using Q4_K_M quantization.
For coding workloads, aya expanse 8b orthogonal heretic i1 on RTX 5050 8GB receives a C grade with 38.6 tok/s and 19K context.
On RTX 5050 8GB, aya expanse 8b orthogonal heretic i1 can safely use up to 19K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
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