What are the hardware requirements for Wald 4B?

Wald 4B requires approximately 8.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Wald 4B and how large is it?

Wald 4B is developed by org2ai, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Wald 4B?

Wald 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Wald 4B by org2ai — VRAM 8.4GB, 256K context

Name: Wald 4B
Author: org2ai

Wald 4B is an open-source language model by org2ai. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.37.

4b Agent-routing Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b-bas... Calibrated-probabilities Calibration Clarification Classification Conversational Decision-index Decision-model En Endpoints compatible Gguf Jev Jev-compatible Jevbench Kev Laya Llama.cpp Model-index Ollama Open-jev Q4 Quantized Qwen3.5 Qwen3 5 text Reasoning Region:us Robustness Safetensors Sharded Systemone Tensorflow Tool-selection Tool-use Typed-decisions Typesafe-compatible Vllm Wald Wald-q4b

Model Card on HF 🤗: https://huggingface.co/org2ai/Wald-4B

Wald 4B Parameters and Internals

LLM Name	Wald 4B
Repository 🤗	https://huggingface.co/org2ai/Wald-4B
Base Model(s)	Qwen/Qwen3.5-4B-Base Qwen/Qwen3.5-4B-Base
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-10-04
Maintainer	org2ai
Model Type	qwen3_5_text
Model Files	2.7 GB 3.1 GB 3.5 GB 4.5 GB 5.0 GB: 1-of-2 3.4 GB: 2-of-2
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k\|q5_k
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Wald 4B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Wald 4B

Best Alternatives	Context / RAM	Downloads	Likes
Polaris V1	256K / 2.7 GB	1434	1
Mind Mem 4B	256K / 2.7 GB	22	1
...B Max Heretic Uncensored TURBO	256K / 8.4 GB	2908	2
NeoHorse 1 4B 4bit	256K / 2.4 GB	118	2
Qwen3.5 Text 4B Bnb 4bit	256K / 3.1 GB	2125	2
Qwen3.5 4B Qat Lean 4bit Mlx	256K / 2.4 GB	155	0
Qwen3.5 4B Code Forged	256K / 8.4 GB	172	1
Agents A1 4B Fable Preview	256K / 8.4 GB	103	0
NeoHorse 1 4B	256K / 8.4 GB	1771	179
Decider 4B	256K / 8.4 GB	23565	17

Note: green Score (e.g. "73.2") means that the model is better than org2ai/Wald-4B.