Email Qwen3 0.6B is an open-source language model by CharlieGreenman. Features: 06b LLM, VRAM: 0.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.
Base model:quantized:qwen/qwen... Base model:qwen/qwen3-0.6b Cold-outreach Conversational Email En Endpoints compatible Finetuned Gguf Q4 Quantized Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/CharlieGreenman/email-qwen3-0.6b
Email Qwen3 0.6B 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)
Email Qwen3 0.6B Parameters and Internals
| LLM Name | Email Qwen3 0.6B |
| Repository 🤗 | https://huggingface.co/CharlieGreenman/email-qwen3-0.6b |
| Base Model(s) | |
| Model Size | 06b |
| Required VRAM | 0.4 GB |
| Updated | 2026-04-06 |
| Maintainer | CharlieGreenman |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf|q4_k |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Email Qwen3 0.6B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...252 Sft Full Smoke 06b Autofix | 40K / 1.2 GB | 514 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than CharlieGreenman/email-qwen3-0.6b .
Rank the Email Qwen3 0.6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a