Qwen2.5 1.5B Quantized.w8a8 vs Thinkless 1.5B RL DeepScaleR
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Qwen2.5 1.5B Quantized.w8a8 | Thinkless 1.5B RL DeepScaleR | |
|---|---|---|
| Parameters | 1.8B | 1.8B |
| Context | 33K | 33K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 1.3M | 2.8K |
| Released | Dec 2024 | Jun 2025 |
VRAM by Quantization: Qwen2.5 1.5B Quantized.w8a8 vs Thinkless 1.5B RL DeepScaleR
| Quantization | Bits | Qwen2.5 1.5B Quantized.w8a8 VRAM | Thinkless 1.5B RL DeepScaleR VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 1.1 GB | — |
| Q3_K_M | 3.90 | 1.2 GB | — |
| Q3_K_S | 3.50 | 1.1 GB | — |
| Q4_0 | 4.00 | 1.3 GB | — |
| Q4_K_M | 4.80 | 1.4 GB | — |
| Q5_K_M | 5.70 | 1.6 GB | — |
| Q6_K | 6.60 | 1.8 GB | — |
| Q8_0 | 8.00 | 2.1 GB | — |
Verdict
Qwen2.5 1.5B Quantized.w8a8 is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Qwen2.5 1.5B Quantized.w8a8 or Thinkless 1.5B RL DeepScaleR?
Qwen2.5 1.5B Quantized.w8a8 supports 32,768 tokens and Thinkless 1.5B RL DeepScaleR supports 32,768 tokens.
- What is the difference between Qwen2.5 1.5B Quantized.w8a8 and Thinkless 1.5B RL DeepScaleR?
Qwen2.5 1.5B Quantized.w8a8 is a 1.8B model from RedHatAI (Qwen 2.5 family), while Thinkless 1.5B RL DeepScaleR is a 1.8B model from Vinnnf. Compare their VRAM requirements above to see which fits your GPU or Mac.