DeepSeek R1 Distill Llama 8B vs Saiga Llama3 8B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 Distill Llama 8B | Saiga Llama3 8B | |
|---|---|---|
| Parameters | 8.0B | 8.0B |
| Context | 131K | 8K |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| License | MIT | Other |
| Downloads | 486.3K | 407.0K |
| Released | — | Jul 2024 |
VRAM by Quantization: DeepSeek R1 Distill Llama 8B vs Saiga Llama3 8B
| Quantization | Bits | DeepSeek R1 Distill Llama 8B VRAM | Saiga Llama3 8B VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 4.0 GB | 4.0 GB |
| Q3_K_M | 3.90 | 4.5 GB | 4.5 GB |
| Q3_K_S | 3.50 | 4.1 GB | 4.1 GB |
| Q4_0 | 4.00 | 4.6 GB | 4.6 GB |
| Q4_K_M | 4.80 | 5.4 GB | 5.4 GB |
| Q5_K_M | 5.70 | 6.3 GB | 6.3 GB |
| Q6_K | 6.60 | 7.2 GB | 7.2 GB |
| Q8_0 | 8.00 | 8.6 GB | 8.6 GB |
Verdict
DeepSeek R1 Distill Llama 8B supports a longer context window (131K tokens). DeepSeek R1 Distill Llama 8B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, DeepSeek R1 Distill Llama 8B or Saiga Llama3 8B?
At Q4_K_M, DeepSeek R1 Distill Llama 8B needs 5.4 GB and Saiga Llama3 8B needs 5.4 GB, so DeepSeek R1 Distill Llama 8B is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 Distill Llama 8B or Saiga Llama3 8B?
DeepSeek R1 Distill Llama 8B supports 131,072 tokens and Saiga Llama3 8B supports 8,192 tokens.
- What is the difference between DeepSeek R1 Distill Llama 8B and Saiga Llama3 8B?
DeepSeek R1 Distill Llama 8B is a 8.0B model from DeepSeek (Llama family), while Saiga Llama3 8B is a 8.0B model from IlyaGusev (Llama 3 family). Compare their VRAM requirements above to see which fits your GPU or Mac.