DeepSeek R1 0528 Qwen3 8B vs Qwen3 4B Hindi Instruct v2
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 0528 Qwen3 8B | Qwen3 4B Hindi Instruct v2 | |
|---|---|---|
| Parameters | 8.2B | 4.0B |
| Context | 131K | 262K |
| Architecture | Qwen3ForCausalLM | Qwen3ForCausalLM |
| License | MIT | Apache 2.0 |
| Downloads | 273.7K | 102 |
| Released | May 2025 | May 2026 |
VRAM by Quantization: DeepSeek R1 0528 Qwen3 8B vs Qwen3 4B Hindi Instruct v2
| Quantization | Bits | DeepSeek R1 0528 Qwen3 8B VRAM | Qwen3 4B Hindi Instruct v2 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 4.1 GB | 2.2 GB |
| Q3_K_M | 3.90 | 4.6 GB | 2.5 GB |
| Q3_K_S | 3.50 | 4.2 GB | 2.3 GB |
| Q4_0 | 4.00 | 4.7 GB | 2.5 GB |
| Q4_K_M | 4.80 | 5.5 GB | 2.9 GB |
| Q5_K_M | 5.70 | 6.4 GB | 3.4 GB |
| Q6_K | 6.60 | 7.4 GB | 3.8 GB |
| Q8_0 | 8.00 | 8.8 GB | 4.5 GB |
Verdict
Qwen3 4B Hindi Instruct v2 needs less VRAM at Q4_K_M (2.9 GB vs 5.5 GB), so it fits on smaller GPUs. Qwen3 4B Hindi Instruct v2 supports a longer context window (262K tokens). DeepSeek R1 0528 Qwen3 8B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, DeepSeek R1 0528 Qwen3 8B or Qwen3 4B Hindi Instruct v2?
At Q4_K_M, DeepSeek R1 0528 Qwen3 8B needs 5.5 GB and Qwen3 4B Hindi Instruct v2 needs 2.9 GB, so Qwen3 4B Hindi Instruct v2 is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 0528 Qwen3 8B or Qwen3 4B Hindi Instruct v2?
DeepSeek R1 0528 Qwen3 8B supports 131,072 tokens and Qwen3 4B Hindi Instruct v2 supports 262,144 tokens.
- What is the difference between DeepSeek R1 0528 Qwen3 8B and Qwen3 4B Hindi Instruct v2?
DeepSeek R1 0528 Qwen3 8B is a 8.2B model from DeepSeek (Qwen family), while Qwen3 4B Hindi Instruct v2 is a 4.0B model from pankajpandey-dev (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.