Llama 7B vs Llama XLAM 2 8B Fc R
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Llama 7B | Llama XLAM 2 8B Fc R | |
|---|---|---|
| Parameters | 6.7B | 8B |
| Context | 2K | 131K |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| License | Other | CC BY-NC 4.0 |
| Downloads | 152.1K | 64.1K |
| Released | Jul 2024 | May 2025 |
VRAM by Quantization: Llama 7B vs Llama XLAM 2 8B Fc R
| Quantization | Bits | Llama 7B VRAM | Llama XLAM 2 8B Fc R VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 3.1 GB | — |
| Q3_K_M | 3.90 | 3.6 GB | — |
| Q3_K_S | 3.50 | 3.2 GB | — |
| Q4_0 | 4.00 | 3.7 GB | — |
| Q4_K_M | 4.80 | 4.5 GB | — |
| Q5_K_M | 5.70 | 5.3 GB | — |
| Q6_K | 6.60 | 6.1 GB | — |
| Q8_0 | 8.00 | 7.4 GB | — |
Verdict
Llama XLAM 2 8B Fc R supports a longer context window (131K tokens). Llama 7B is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Llama 7B or Llama XLAM 2 8B Fc R?
Llama 7B supports 2,048 tokens and Llama XLAM 2 8B Fc R supports 131,072 tokens.
- What is the difference between Llama 7B and Llama XLAM 2 8B Fc R?
Llama 7B is a 6.7B model from huggyllama (Llama family), while Llama XLAM 2 8B Fc R is a 8B model from Salesforce (Llama family). Compare their VRAM requirements above to see which fits your GPU or Mac.