Unsloth · Gemma 4
Gemma 4 E4B Instruct GGUF
Verified by Badgr · ServeGemma 4 E4B Instruct GGUF is a 7.5B chat and text-generation model available through supported Badgr execution routes.
Last validated or meaningfully updated: 2026-10-08
✓ Verified by Badgr · llama.cpp · Serve
Last verified 2026-10-08
badgr serve --runtime llama.cpp --hf-repo unsloth/gemma-4-E4B-it-GGUF --hf-file gemma-4-E4B-it-Q4_K_M.gguf --gpu RTX_4090 --max-cost 1.5- GPU
- NVIDIA GeForce RTX 4090Reported by the provider, not confirmed inside the container
- Time to verified
- 102.7s
- Deployment
- dep-328768516f
- ✓ llama-server started
- ✓ /health returned HTTP 200
- ✓ Chat completion returned the expected reply
- ✓ final_state = VERIFIED
- ✓ Teardown completed
GitHub issue this run was for: unslothai/unsloth#12695
Raw evidence
final_state=VERIFIED failure_class=None providers_tried=1 spend_usd=0.0050 elapsed=102.7s
Run from Badgr's local development environment. Documents that this deployment path works end-to-end for this model.
Availability
Not yet Badgr AI API
Not currently validated
✓ Dedicated endpoint
Available through Badgr
✓ Custom GPU deployment
Available through Badgr
Deployment profile
- Architecture
- Gemma4ForConditionalGeneration
- Licence
- Apache-2.0
- Minimum VRAM
- ~19GB
- Context
- 128K tokens
Recommended: RTX 4090 24GB. VRAM is an estimate and increases with context, cache, concurrency, and runtime overhead.
Model identity
- Base model
- google/gemma-4-E4B-it
- Updated
- 2 months ago
- HuggingFace revision
- bfc15c3822
Popularity and trust
Downloads (last month)
592.6K
Likes
645
Spaces using this model
27
Files and formats
Weight formats
GGUF
Repository files
33
Chat template
Not detected
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
| Runtime | Status | Notes |
|---|---|---|
| vLLM | Estimated | Used for Badgr dedicated endpoints |
| Transformers | Unknown | Basic fallback |
| llama.cpp | Verified by Badgr | Confirmed by a real badgr serve run (deployment dep-328768516f) |
| SGLang | Unknown | Not evaluated |
| Ollama | Unknown | Not evaluated |
| Diffusers | Unknown | Not evaluated |
| PyTorch | Unknown | Not evaluated |
| TensorRT-LLM | Unknown | Conversion may be required |
| TGI | Unknown | Not evaluated |
Ready-to-run Badgr configurations
Quick test
badgr serve unsloth/gemma-4-E4B-it-GGUF --max-cost 2Validated dedicated endpoint command
badgr serve unsloth/gemma-4-E4B-it-GGUF --gpu RTX 4090 --max-cost 10Advanced configuration (defaults to automatic)
- Runtime
- Quantisation
- GPU and GPU count
- Context length
- Maximum concurrency
- Region
- Maximum hourly spend
- Persistent or capped runtime
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
Availablefrom $0.19/hr
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
Availablefrom $0.44/hr
Best for
ComfyUI, Batch Inference, Qwen 2.5 7B Instruct
Startup: 2–5 min
Reliability: Standard
Last checked: just now
RTX 4090 24GB · Europe
Estimatedstarting 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
Estimatedstarting 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
Estimatedstarting 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
Availablefrom $0.50/hr
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.