Qwen3 4B Esper3 is an open-source language model by ValiantLabs. Features: 4b LLM, VRAM: 16.1GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.
4b Analytical Architect Aws Azure Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Chat Cloud Code Code-instruct Conversational Creative Dataset:sequelbox/raiden-deeps... Dataset:sequelbox/tachibana2-d... Dataset:sequelbox/titanium2.1-... Dev-ops Developer En Endpoints compatible Engineer Esper Esper-3 Expert Gcp Instruct Javascript Jenkins Powershell Problem-solving Python Qwen Qwen-3 Qwen-3-4b Qwen3 Rationality Reasoning Region:us Safetensors Scripting Sharded Tensorflow Terraform Valiant Valiant-labs
Model Card on HF 🤗: https://huggingface.co/ValiantLabs/Qwen3-4B-Esper3
Qwen3 4B Esper3 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen3 4B Esper3 Parameters and Internals
| LLM Name | Qwen3 4B Esper3 |
| Repository 🤗 | https://huggingface.co/ValiantLabs/Qwen3-4B-Esper3 |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 16.1 GB |
| Updated | 2025-12-10 |
| Maintainer | ValiantLabs |
| Model Type | qwen3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to Qwen3 4B Esper3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 9735996 | 813 |
| Qwen3 4B Instruct 2507 FP8 | 256K / 5.2 GB | 715358 | 73 |
| Jan Code 4B | 256K / 8.9 GB | 489 | 75 |
| Jan V3 4B Base Instruct | 256K / 8.9 GB | 1827 | 60 |
| Qwen3 4B Instruct Refiner Sft | 256K / 16.1 GB | 389 | 0 |
| Bridger 4B | 256K / 8.1 GB | 115 | 0 |
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 38571 | 25 |
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 266 | 0 |
| SimpleSD 4B Instruct | 256K / 8.1 GB | 293 | 2 |
| ...wen3 4B Instruct 2507 SOM MPOA | 256K / 8 GB | 104 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/Qwen3-4B-Esper3 .
Rank the Qwen3 4B Esper3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a