Smol Llama 101M GQA vs Llama 68M
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Smol Llama 101M GQA | Llama 68M | |
|---|---|---|
| Parameters | 101M | 68M |
| Context | 1K | 2K |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 1.9K | 203.4K |
| Released | Dec 2025 | Jun 2026 |
VRAM by Quantization: Smol Llama 101M GQA vs Llama 68M
| Quantization | Bits | Smol Llama 101M GQA VRAM | Llama 68M VRAM |
|---|---|---|---|
| Q2_K | 3.40 | — | 0.0 GB |
| Q3_K_M | 3.90 | — | 0.0 GB |
| Q3_K_S | 3.50 | — | 0.0 GB |
| Q4_K_M | 4.80 | — | 0.0 GB |
| Q5_K_M | 5.70 | — | 0.1 GB |
| Q6_K | 6.60 | — | 0.1 GB |
| Q8_0 | 8.00 | — | 0.1 GB |
Verdict
Llama 68M supports a longer context window (2K tokens). Llama 68M is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Smol Llama 101M GQA or Llama 68M?
Smol Llama 101M GQA supports 1,024 tokens and Llama 68M supports 2,048 tokens.
- What is the difference between Smol Llama 101M GQA and Llama 68M?
Smol Llama 101M GQA is a 101M model from BEE-spoke-data (Llama family), while Llama 68M is a 68M model from JackFram (Llama family). Compare their VRAM requirements above to see which fits your GPU or Mac.