Llama 68M vs Llama Poro 2 8B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama 68M | Llama Poro 2 8B Instruct | |
|---|---|---|
| Parameters | 68M | 8.0B |
| Context | 2K | 8K |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| License | Apache 2.0 | llama3.3 |
| Downloads | 203.4K | 1.6K |
| Released | Jun 2026 | Nov 2025 |
VRAM by Quantization: Llama 68M vs Llama Poro 2 8B Instruct
| Quantization | Bits | Llama 68M VRAM | Llama Poro 2 8B Instruct 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 Poro 2 8B Instruct supports a longer context window (8K tokens). Llama 68M is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Llama 68M or Llama Poro 2 8B Instruct?
Llama 68M supports 2,048 tokens and Llama Poro 2 8B Instruct supports 8,192 tokens.
- What is the difference between Llama 68M and Llama Poro 2 8B Instruct?
Llama 68M is a 68M model from JackFram (Llama family), while Llama Poro 2 8B Instruct is a 8.0B model from LumiOpen (Llama family). Compare their VRAM requirements above to see which fits your GPU or Mac.