XGen-7B
XGen-7B is an open-weights language model from Salesforce, released June 27, 2023. It has 7B parameters (dense). On the Epoch Capabilities Index it scores 70.6, rank 247 of 256 rated models.
Check it against your own PC →
Lab
Salesforce
Released
June 27, 2023
Weights
Open unrestricted
Parameters
7B dense
Context
–
Price / M tokens
–
Epoch ECI
70.6 #247
Can you run XGen-7B locally?
The smallest common GPU it runs on is 6 GB of VRAM (with 32 GB of RAM): Q6_K, split GPU / CPU, roughly 8 tokens per second. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Runs, slowly | Q6_K (≈ lossless) | 5.2 GB | 3.3 GB | ~8 |
| 8 GB VRAM | Runs on GPU | Q4_K_M (very good) | 7.0 GB | – | ~37 |
| 12 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~36 |
| 16 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~50 |
| 24 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~89 |
| 32 GB VRAM | Runs on GPU | Q6_K (≈ lossless) | 8.5 GB | – | ~160 |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| MMLU | 15.1% |
Links
Models with a similar score
chatglm2-6b · MPT-7B · Falcon-7B · StarCoder 2 7B · Phi-1.5 · Qwen2.5-Coder-0.5B · DeepSeek Coder 6.7B · StarCoder 2 3B