Bella Bartender 8B Llama3.1 vs Llama 3.1 70B LatamGPT SFT 1.0
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Bella Bartender 8B Llama3.1 | Llama 3.1 70B LatamGPT SFT 1.0 | |
|---|---|---|
| Parameters | 8.0B | 70.6B |
| Context | 131K | 4K |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| License | Llama 3.1 Community | Llama 3.1 Community |
| Downloads | 3.7K | 901 |
| Released | Mar 2026 | Jun 2026 |
VRAM by Quantization: Bella Bartender 8B Llama3.1 vs Llama 3.1 70B LatamGPT SFT 1.0
| Quantization | Bits | Bella Bartender 8B Llama3.1 VRAM | Llama 3.1 70B LatamGPT SFT 1.0 VRAM |
|---|---|---|---|
| BF16 | 16.00 | 16.6 GB | — |
| Q4_K_M | 4.80 | — | 43.3 GB |
Verdict
Bella Bartender 8B Llama3.1 supports a longer context window (131K tokens). Bella Bartender 8B Llama3.1 is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Bella Bartender 8B Llama3.1 or Llama 3.1 70B LatamGPT SFT 1.0?
Bella Bartender 8B Llama3.1 supports 131,072 tokens and Llama 3.1 70B LatamGPT SFT 1.0 supports 4,096 tokens.
- What is the difference between Bella Bartender 8B Llama3.1 and Llama 3.1 70B LatamGPT SFT 1.0?
Bella Bartender 8B Llama3.1 is a 8.0B model from juiceb0xc0de (Llama 3 family), while Llama 3.1 70B LatamGPT SFT 1.0 is a 70.6B model from latam-gpt (Llama 3 family). Compare their VRAM requirements above to see which fits your GPU or Mac.