JiRackUltra_1b
CMSManhattanmittext

JiRackUltra_1b

Updated Sep 27, 2026
Parameters
1.8B
Context
131,072
License
mit
Q4 GGUF
1.12 GB
Updated
Sep 27, 2026

Q4 GGUF download: mradermacher/JiRackUltra_1b-i1-GGUF - 1.12 GB on disk, read 2026-09-27. VRAM figures above are estimates; this is the actual file size.

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit JiRackUltra_1b with real runtime overhead.
Q4_K_M
1 GB
Q5_K_M
1 GB
Q8_0
2 GB
FP16
4 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve CMSManhattan/JiRackUltra_1b

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

JiRackUltra_1b is a 1.8B-parameter mit model from CMSManhattan. At Q4_K_M it needs roughly 1 GB of VRAM, placing it in the CPU / ≤4 GB hardware tier.

Popularity

JiRackUltra_1b has 910,001 downloads in the last month on HuggingFace.

Frequently asked

Quick answers to common questions

How much VRAM does JiRackUltra_1b need?

JiRackUltra_1b with 1.8B parameters needs approximately 1 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is JiRackUltra_1b better than other CMSManhattan models?

JiRackUltra_1b has 1.8B parameters with 131,072 context - a strong choice for general use.

What license is JiRackUltra_1b under?

JiRackUltra_1b is released under the mit license, making it suitable for most commercial and personal projects.

What hardware runs JiRackUltra_1b well?

With 1.8B parameters, JiRackUltra_1b requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for JiRackUltra_1b?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~1 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can JiRackUltra_1b's context window handle?

JiRackUltra_1b supports a 131,072-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with JiRackUltra_1b?

JiRackUltra_1b competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec