Arcee Maestro 7B Preview AWQ is an open-source language model by arcee-ai. Features: 7b LLM, VRAM: 5.6GB, Context: 128K, License: apache-2.0, Quantized.
| LLM Name | Arcee Maestro 7B Preview AWQ |
| Repository 🤗 | https://huggingface.co/arcee-ai/Arcee-Maestro-7B-Preview-AWQ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 5.6 GB |
| Updated | 2026-08-09 |
| Maintainer | arcee-ai |
| Model Type | qwen2 |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 151665 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Samantha Qwen2 7B AWQ | 128K / 5.6 GB | 10 | 0 |
| Dolphin 2.9.2 Qwen2 7B AWQ | 128K / 5.6 GB | 31 | 0 |
| CodeQwen1.5 7B Chat AWQ | 64K / 5.3 GB | 26 | 14 |
| CodeQwen1.5 7B AWQ | 64K / 5.3 GB | 65 | 2 |
| Qwen2.5 7B Instruct AWQ | 32K / 5.6 GB | 4511676 | 48 |
| Qwen2.5 Coder 7B Instruct AWQ | 32K / 5.6 GB | 316581 | 24 |
| Qwen2 7B Instruct AWQ | 32K / 5.6 GB | 20200 | 23 |
| Qwen1.5 7B Chat AWQ | 32K / 5.9 GB | 260 | 13 |
| Qwen1.5 7B AWQ W4 G128 | 32K / 5.9 GB | 6 | 0 |
| ...nt4 Asym Bf16 Onnx Ryzen Strix | 32K / GB | 9 | 1 |