TinyMixtral 4x248M MoE vs Mixtral 8x7B Instruct v0.1
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| TinyMixtral 4x248M MoE | Mixtral 8x7B Instruct v0.1 | |
|---|---|---|
| Parameters | 701M | 46.7B |
| Context | 33K | 33K |
| Architecture | MixtralForCausalLM | MixtralForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 2.5K | 881.0K |
| Released | Apr 2024 | — |
VRAM by Quantization: TinyMixtral 4x248M MoE vs Mixtral 8x7B Instruct v0.1
| Quantization | Bits | TinyMixtral 4x248M MoE VRAM | Mixtral 8x7B Instruct v0.1 VRAM |
|---|---|---|---|
| BF16 | 16.00 | 1.7 GB | 94.0 GB |
Verdict
TinyMixtral 4x248M MoE needs less VRAM at BF16 (1.7 GB vs 94.0 GB), so it fits on smaller GPUs. Mixtral 8x7B Instruct v0.1 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, TinyMixtral 4x248M MoE or Mixtral 8x7B Instruct v0.1?
At BF16, TinyMixtral 4x248M MoE needs 1.7 GB and Mixtral 8x7B Instruct v0.1 needs 94.0 GB, so TinyMixtral 4x248M MoE is the lighter option to run locally.
- Which has a longer context window, TinyMixtral 4x248M MoE or Mixtral 8x7B Instruct v0.1?
TinyMixtral 4x248M MoE supports 32,768 tokens and Mixtral 8x7B Instruct v0.1 supports 32,768 tokens.
- What is the difference between TinyMixtral 4x248M MoE and Mixtral 8x7B Instruct v0.1?
TinyMixtral 4x248M MoE is a 701M model from Isotonic (Mixtral family), while Mixtral 8x7B Instruct v0.1 is a 46.7B model from Mistral AI (Mixtral family). Compare their VRAM requirements above to see which fits your GPU or Mac.