IBM · Granite 3.3

Granite 3.3 8B Instruct GPTQ

Unverified · community-discovered, not yet reviewed

Granite 3.3 8B Instruct is a 8B chat and text-generation model available through supported Badgr execution routes.

Last validated or meaningfully updated: 2026-07-27

ChatLong context

Availability

Not yet Badgr AI API

Not currently validated

Not yet Dedicated endpoint

Not currently validated

Not yet Custom GPU deployment

Not currently validated

Deployment profile

Architecture
GraniteForCausalLM
Licence
Apache-2.0
Minimum VRAM
~10GB
Context
128K tokens

Recommended: RTX 4090 24GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.

GPU deployment scenarios

Estimated from parameter count and quantisation. Will switch to “Verified by Badgr” once a real run backs a tier.

Testing

RTX 4090 24GB

Short context, low concurrency

Small production

L40S 48GB

8K context, 1-4 concurrent requests

Higher throughput

A100 80GB

32K context, continuous batching

Large production

RTX 4090 24GB

Higher concurrency

Estimated — multimodal inputs, long context, and concurrency all increase real VRAM use beyond this estimate.

Also runs well on L40S 48GB, A100 40GB. Available in United States, Europe.

Serving compatibility

RuntimeStatusNotes
vLLMEstimatedUsed for Badgr dedicated endpoints
TransformersUnknownBasic fallback
llama.cppRequires GGUF conversionNo GGUF weights found in repo
SGLangUnknownNot evaluated
TensorRT-LLMUnknownConversion may be required
TGIUnknownNot evaluated

Estimated pricing

Provider estimate: cold start

2–5 min

Provider estimate: endpoint cost

$0.40 – $0.43/hr

Idle cost

$0 when stopped

Per-token throughput cost is not shown here: Badgr has not benchmarked this model yet, and this page does not display figures it cannot back with real data.

Recommended Badgr routes

RTX 4090 24GB · United States

Available

from $0.40/hr

7x GPU24GB VRAM/GPUSame host192 vCPU503.1GB RAM6521GB storage0.89Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.40/hr

4x GPU24GB VRAM/GPUSame host192 vCPU287.5GB RAM3726.285714285714GB storage0.89Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.40/hr

3x GPU24GB VRAM/GPUSame host192 vCPU215.6GB RAM2794.714285714286GB storage0.89Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.40/hr

2x GPU24GB VRAM/GPUSame host192 vCPU143.8GB RAM1863.142857142857GB storage0.89Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.40/hr

24GB VRAM/GPU192 vCPU71.9GB RAM931.5714285714286GB storage0.89Gbps networkCUDA 13.2

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · United States

Available

from $0.43/hr

2x GPU24GB VRAM/GPUSame host64 vCPU62.8GB RAM1290.5GB storage0.71Gbps networkCUDA 12.8

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

Known limitations

  • GPTQ artifact existence, licence, quality, and runner compatibility have not been validated.

Related troubleshooting