Qwen · Qwen 3

Qwen 3 0.6B FP8

Verified by Badgr · Run

Qwen 3 0.6B FP8 is a 0.6B chat and text-generation model available through supported Badgr execution routes.

Last validated or meaningfully updated: 2026-10-08

ChatLong contextEdge-capableFine-tunable

✓ Verified by Badgr · vLLM · Run

Last verified 2026-10-08

badgr run --image vllm/vllm-openai:nightly --gpu RTX_5090 --max-cost 1 --max-runtime 20 --cmd 'VLLM_USE_DEEP_GEMM=0 python3 -c "
from vllm import LLM, SamplingParams
llm = LLM(\"Qwen/Qwen3-0.6B-FP8\", max_model_len=2048)
print(\"SMOKE 60261-workaround\", llm.generate([\"Hello\"], SamplingParams(max_tokens=8)))
"'
GPU
NVIDIA GeForce RTX 5090Reported by the provider, not confirmed inside the container
Command runtime
74s
Deployment
dep-902d628dee
  • ✓ Workload container started
  • ✓ Command exited with code 0
  • ✓ Job finished (status = succeeded)
  • ✓ Teardown completed

Block-FP8 model on Blackwell (sm_120) with DeepGEMM disabled.

GitHub issue this run was for: vllm-project/vllm#60261

Raw evidence
deployment=dep-902d628dee status=succeeded user_command_exit=0 command_runtime=74s

Run from Badgr's local development environment. Documents that this job works end-to-end for this model.

Availability

Not yet Badgr AI API

Not currently validated

Not yet Dedicated endpoint

Not currently validated

✓ Custom GPU deployment

Available through Badgr

Deployment profile

Architecture
Qwen3ForCausalLM
Licence
Apache-2.0
Minimum VRAM
~6GB
Context
40K tokens

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

Model identity

Base model
Qwen/Qwen3-0.6B
Updated
1 years ago
HuggingFace revision
e5be080333

Popularity and trust

Downloads (last month)

247.7K

Likes

63

Spaces using this model

4

Files and formats

Weight formats

Safetensors

Repository files

10

Tokenizer

BPE

Chat template

Available

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
vLLMVerified for RunConfirmed by a real badgr run job (deployment dep-902d628dee); serving is not verified
TransformersDeclared by sourceBasic fallback
llama.cppRequires GGUF conversionNo GGUF weights found in repo
SGLangUnknownNot evaluated
OllamaUnknownNot evaluated
DiffusersUnknownNot evaluated
PyTorchUnknownNot evaluated
TensorRT-LLMUnknownConversion may be required
TGIUnknownNot evaluated

Estimated pricing

Provider estimate: cold start

2–5 min

Provider estimate: endpoint cost

$0.19 – $0.50/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 $0.19/hr

24GB VRAM/GPU16GB RAM1440.9GB storage0.02Gbps 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 $0.44/hr

24GB VRAM/GPU

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: just now

RTX 4090 24GB · Europe

Estimated

starting from $0.45/hr

Badgr estimated starting price

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: Live marketplace price not available yet

RTX 4090 24GB · Europe

Estimated

starting from $0.45/hr

Badgr estimated starting price

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: Live marketplace price not available yet

RTX 4090 24GB · Europe

Estimated

starting from $0.45/hr

Badgr estimated starting price

Best for

ComfyUI, Batch Inference, Qwen 2.5 7B Instruct

Startup: 2–5 min

Reliability: Standard

Last checked: Live marketplace price not available yet

RTX 4090 24GB · United States

Available

from $0.50/hr

2x GPU24GB VRAM/GPUSame host128 vCPU125.9GB RAM1201GB storage0.35Gbps 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

  • Memory use increases with context length and concurrency.

Related troubleshooting