MODEL PROFILE

Wald-4B-GGUF

org2ai · Wald-4B-GGUF

GGUF files of Wald-Q4B v2.1 (tag `v2.1`) for llama.cpp: an open 4B decision model that returns a calibrated probability for every option. - One pass, text only: the bundled server reads a probability for every option from the model's option-letter logits (Qwen chat template), calibrated with the same frozen temperature table as the BF16 release. - `--effort auto` (Auto 0.7) also runs here but has not been parity-checked on GGUF; for images, use the BF16 release. - On a 1,000-request Decision Index sample (5,922 questions), Q8_0 gives the BF16 answer on 99.5 % of questions and Q4_K_M on 97.3 %. All numbers: evaluation/v2.1-gguf-parity.json. - v2 (`Wald-4B-v2-*.gguf`, `v2/`): Wald-Q4B v2, unchanged in this repository. - v1.2 (`Wald-4B-v1.2-*.gguf`, `server/`): unchanged in this repository.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:15:59
OVERVIEW

Model overview

GGUF files of Wald-Q4B v2.1 (tag `v2.1`) for llama.cpp: an open 4B decision model that returns a calibrated probability for every option. - One pass, text only: the bundled server reads a probability for every option from the model's option-letter logits (Qwen chat template), calibrated with the same frozen temperature table as the BF16 release. - `--effort auto` (Auto 0.7) also runs here but has not been parity-checked on GGUF; for images, use the BF16 release. - On a 1,000-request Decision Index sample (5,922 questions), Q8_0 gives the BF16 answer on 99.5 % of questions and Q4_K_M on 97.3 %. All numbers: evaluation/v2.1-gguf-parity.json. - v2 (`Wald-4B-v2-*.gguf`, `v2/`): Wald-Q4B v2, unchanged in this repository. - v1.2 (`Wald-4B-v1.2-*.gguf`, `server/`): unchanged in this repository.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。