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DataBubble·

Model Detail

unsloth logo

gpt-oss-20b-GGUF

▲ 21.7%
Provider: unslothCategory: llmPipeline: text-generationParameters: 20B
DB Score
9.2
Downloads
183K
Likes
713
Day
+21.7%
Week
+21.7%
Month
-15.6%
Overview

gpt-oss-20b-GGUF is a large language model with 20B parameters released by unsloth. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, distributed under the permissive apache-2.0 license.

Pricing & Throughput

gpt-oss-20b-GGUF is priced at $0.04/M input tokens and $0.15/M output tokens. Operationally the model offers a 131K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.

Technical

gpt-oss-20b-GGUF ships with 20B parameters, distributed as a quantized weight variant for lower-VRAM inference. The published knowledge cutoff is 2024-06-30, so newer events will not be reflected in zero-shot answers without retrieval. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of gpt-oss-20b-GGUF have moved +21.7% over the past 24 hours, +21.7% over the trailing seven days, -15.6% over the trailing thirty days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

gpt-oss-20b-GGUF is best fit for general-purpose chat and instruction-following workloads, and high-volume batch jobs where per-call cost dominates the budget. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Pricing
Input ($/M tokens)
$0.04
Output ($/M tokens)
$0.15
Context Window
131K
Model Info
Licenseapache-2.0
Modalitytext->text
Knowledge Cutoff2024-06-30
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