Qwen2.5 Coder 7B Instruct Abliterated vs Qwen2.5 0.5B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Qwen2.5 Coder 7B Instruct Abliterated | Qwen2.5 0.5B | |
|---|---|---|
| Parameters | 7.6B | 494M |
| Context | 33K | 33K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 1.6K | 2.2M |
| Released | Nov 2024 | Sep 2024 |
VRAM by Quantization: Qwen2.5 Coder 7B Instruct Abliterated vs Qwen2.5 0.5B
| Quantization | Bits | Qwen2.5 Coder 7B Instruct Abliterated VRAM | Qwen2.5 0.5B VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 3.6 GB | 0.5 GB |
| Q3_K_M | 3.90 | 4.1 GB | 0.6 GB |
| Q3_K_S | 3.50 | 3.8 GB | 0.5 GB |
| Q4_0 | 4.00 | 4.2 GB | 0.6 GB |
| Q4_K_M | 4.80 | 5.0 GB | 0.6 GB |
| Q5_K_M | 5.70 | 5.8 GB | 0.7 GB |
| Q6_K | 6.60 | 6.7 GB | 0.7 GB |
| Q8_0 | 8.00 | 8.0 GB | 0.8 GB |
Verdict
Qwen2.5 0.5B needs less VRAM at Q4_K_M (0.6 GB vs 5.0 GB), so it fits on smaller GPUs. Qwen2.5 0.5B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Qwen2.5 Coder 7B Instruct Abliterated or Qwen2.5 0.5B?
At Q4_K_M, Qwen2.5 Coder 7B Instruct Abliterated needs 5.0 GB and Qwen2.5 0.5B needs 0.6 GB, so Qwen2.5 0.5B is the lighter option to run locally.
- Which has a longer context window, Qwen2.5 Coder 7B Instruct Abliterated or Qwen2.5 0.5B?
Qwen2.5 Coder 7B Instruct Abliterated supports 32,768 tokens and Qwen2.5 0.5B supports 32,768 tokens.
- What is the difference between Qwen2.5 Coder 7B Instruct Abliterated and Qwen2.5 0.5B?
Qwen2.5 Coder 7B Instruct Abliterated is a 7.6B model from huihui-ai (Qwen 2.5 family), while Qwen2.5 0.5B is a 494M model from Alibaba (Qwen 2.5 family). Compare their VRAM requirements above to see which fits your GPU or Mac.