Llama 3.3 70B Instruct Abliterated vs Llama 3.3 70B Instruct
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama 3.3 70B Instruct Abliterated | Llama 3.3 70B Instruct | |
|---|---|---|
| Parameters | 70.6B | 70.6B |
| Context | 131K | 131K |
| Architecture | LlamaForCausalLM | — |
| License | llama3.3 | llama3.3 |
| Downloads | 4.3K | 802.3K |
| Released | Dec 2024 | Dec 2024 |
VRAM by Quantization: Llama 3.3 70B Instruct Abliterated vs Llama 3.3 70B Instruct
| Quantization | Bits | Llama 3.3 70B Instruct Abliterated VRAM | Llama 3.3 70B Instruct VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 31.0 GB | 33.0 GB |
| Q3_K_M | 3.90 | 35.4 GB | 37.8 GB |
| Q3_K_S | 3.50 | 31.8 GB | 34.0 GB |
| Q4_0 | 4.00 | 36.3 GB | 38.8 GB |
| Q4_K_M | 4.80 | 43.3 GB | 46.6 GB |
| Q5_K_M | 5.70 | 51.2 GB | 55.3 GB |
| Q6_K | 6.60 | 59.2 GB | 64.0 GB |
| Q8_0 | 8.00 | 71.5 GB | 77.6 GB |
Verdict
Llama 3.3 70B Instruct Abliterated needs less VRAM at Q4_K_M (43.3 GB vs 46.6 GB), so it fits on smaller GPUs. Llama 3.3 70B Instruct is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Llama 3.3 70B Instruct Abliterated or Llama 3.3 70B Instruct?
At Q4_K_M, Llama 3.3 70B Instruct Abliterated needs 43.3 GB and Llama 3.3 70B Instruct needs 46.6 GB, so Llama 3.3 70B Instruct Abliterated is the lighter option to run locally.
- Which has a longer context window, Llama 3.3 70B Instruct Abliterated or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct Abliterated supports 131,072 tokens and Llama 3.3 70B Instruct supports 131,072 tokens.
- What is the difference between Llama 3.3 70B Instruct Abliterated and Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct Abliterated is a 70.6B model from huihui-ai (Llama 3 family), while Llama 3.3 70B Instruct is a 70.6B model from Meta (Llama 3 family). Compare their VRAM requirements above to see which fits your GPU or Mac.