prithivMLmods / lift-GGUF

huggingface.co
Total runs: 2.4K
24-hour runs: 0
7-day runs: -1.2K
30-day runs: -1.2K
Model's Last Updated: June 20 2026
image-text-to-text

Introduction of lift-GGUF

Model Details of lift-GGUF

lift-GGUF

lift is a 9-billion-parameter structured extraction model from Datalab, built on Qwen3.5-9B, that pulls structured JSON data out of PDFs and images by accepting any JSON Schema and returning a matching JSON object via schema-constrained decoding to guarantee valid, well-typed output. It handles multi-page documents in a single pass — including values spanning multiple pages — supports both local (HuggingFace) and remote (vLLM server) inference modes, and ships with a CLI for single files, inline schemas, or whole directories, plus a Streamlit-based Schema Studio for building and testing schemas. On a 225-document benchmark (6–64 pages, ~11,000 scored fields) featuring adversarial cases like cross-page values, exhaustive lists, and near-miss distractors, lift achieves 90.2% field accuracy and 20.9% full-document accuracy at a 9.5s median latency, outperforming similarly-sized open models like Qwen3.5-9B (76.3%) and NuExtract3 (81.5%) while trailing larger hosted systems like the Datalab API (95.9%) and Gemini Flash 3.5 (91.3%); code is Apache 2.0 licensed while model weights use a modified OpenRAIL-M license that's free for research, personal use, and startups under $5M in funding or revenue.

Model Files
File Name Quant Type File Size File Link
lift.BF16.gguf BF16 18.4 GB Download
lift.F16.gguf F16 18.4 GB Download
lift.Q2_K.gguf Q2_K 3.91 GB Download
lift.Q3_K_L.gguf Q3_K_L 5.05 GB Download
lift.Q3_K_M.gguf Q3_K_M 4.74 GB Download
lift.Q3_K_S.gguf Q3_K_S 4.36 GB Download
lift.Q4_0.gguf Q4_0 5.45 GB Download
lift.Q4_K_M.gguf Q4_K_M 5.78 GB Download
lift.Q4_K_S.gguf Q4_K_S 5.49 GB Download
lift.Q5_0.gguf Q5_0 6.47 GB Download
lift.Q5_K_M.gguf Q5_K_M 6.64 GB Download
lift.Q5_K_S.gguf Q5_K_S 6.47 GB Download
lift.Q6_K.gguf Q6_K 7.56 GB Download
lift.Q8_0.gguf Q8_0 9.79 GB Download
lift.mmproj-bf16.gguf mmproj-bf16 922 MB Download
lift.mmproj-f16.gguf mmproj-f16 922 MB Download
lift.mmproj-q8_0.gguf mmproj-q8_0 624 MB Download
llama.cpp

LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp

Runs of prithivMLmods lift-GGUF on huggingface.co

2.4K
Total runs
0
24-hour runs
-309
3-day runs
-1.2K
7-day runs
-1.2K
30-day runs

More Information About lift-GGUF huggingface.co Model

More lift-GGUF license Visit here:

https://choosealicense.com/licenses/openrail

lift-GGUF huggingface.co

lift-GGUF huggingface.co is an AI model on huggingface.co that provides lift-GGUF's model effect (), which can be used instantly with this prithivMLmods lift-GGUF model. huggingface.co supports a free trial of the lift-GGUF model, and also provides paid use of the lift-GGUF. Support call lift-GGUF model through api, including Node.js, Python, http.

prithivMLmods lift-GGUF online free

lift-GGUF huggingface.co is an online trial and call api platform, which integrates lift-GGUF's modeling effects, including api services, and provides a free online trial of lift-GGUF, you can try lift-GGUF online for free by clicking the link below.

prithivMLmods lift-GGUF online free url in huggingface.co:

https://huggingface.co/prithivMLmods/lift-GGUF

lift-GGUF install

lift-GGUF is an open source model from GitHub that offers a free installation service, and any user can find lift-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of lift-GGUF install, users can directly use lift-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

lift-GGUF install url in huggingface.co:

https://huggingface.co/prithivMLmods/lift-GGUF

Url of lift-GGUF

Provider of lift-GGUF huggingface.co

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