Llama Krikri 8B Instruct vs Llama 68M
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama Krikri 8B Instruct | Llama 68M | |
|---|---|---|
| Parameters | 8.2B | 68M |
| Context | 131K | 2K |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| License | Llama 3.1 Community | Apache 2.0 |
| Downloads | 4.3K | 203.4K |
| Released | Dec 2025 | Jun 2026 |
VRAM by Quantization: Llama Krikri 8B Instruct vs Llama 68M
| Quantization | Bits | Llama Krikri 8B Instruct 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 Krikri 8B Instruct supports a longer context window (131K tokens). Llama 68M is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Llama Krikri 8B Instruct or Llama 68M?
Llama Krikri 8B Instruct supports 131,072 tokens and Llama 68M supports 2,048 tokens.
- What is the difference between Llama Krikri 8B Instruct and Llama 68M?
Llama Krikri 8B Instruct is a 8.2B model from ilsp (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.