Qwen1.5-MoE-A2.7B-Chat
By Qwen. 14.3 billion parameters, a context window of 32,768 tokens and the licence other.
Facts
- Released
- 2024-03-14 the day the repository was first published on Hugging Face Hugging Face, read
- Licence
- other the licence the model card declares Hugging Face, read
- Open weights
- Yes the weights are published in this Hugging Face repository Hugging Face, read
- Parameters
- 14.3 billion counted from the safetensors weight files Hugging Face, read
- Active parameters
- 2.7 billion estimate estimated from the expert counts and sizes in the configuration model configuration, read
- Knowledge cutoff
- Unknown
- Context window
- 32,768 tokens the maximum position embeddings in the model configuration model configuration, read
- Longest output
- Unknown
- Tool calling
- No the chat template in the tokenizer configuration has no place for tool definitions Hugging Face, read
- Structured output
- Unknown
- Reasoning controls
- Unknown
- Inputs and outputs
- text in, text out Hugging Face, read
- Good for
- No source names a use.
Prices
No source lists a price for this model. It may only run on your own hardware.
Run it on your own hardware
Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.
| Quantization | Weights | Memory at 8,192 tokens | Memory at 32,768 tokens |
|---|---|---|---|
| Q2_K | 5.5 GiB | 7.8 GiB | 12.3 GiB |
| Q3_K_M | 6.9 GiB | 9.3 GiB | 13.8 GiB |
Start it with a local runtime
- Ollama
ollama run hf.co/tensorblock/Qwen1.5-MoE-A2.7B-Chat-GGUF:Q2_K - LM Studio
lms get tensorblock/Qwen1.5-MoE-A2.7B-Chat-GGUF lms server start - llama.cpp server
llama-server -hf tensorblock/Qwen1.5-MoE-A2.7B-Chat-GGUF:Q2_K --jinja - vLLM
vllm serve Qwen/Qwen1.5-MoE-A2.7B-Chat - SGLang
sglang serve --model-path Qwen/Qwen1.5-MoE-A2.7B-Chat --port 30000
Use it from your harness
No endpoint in this directory serves this model yet.
Published results
These are results other people published. Baltor did not run them and does not rank models by them.
- Results the maker published on the model card published by Qwen Hugging Face, read
Two more publishers are linked, never copied, because their terms do not allow it:
- Artificial Analysis publishes its own intelligence, speed and price measurements.
- OpenRouter lists current prices and uptime for each provider it routes to.
Sources of this page
Paid links
No link in this directory is a paid link or an ad, and no listing is paid for. The order and the contents of every list come from the sources named on this page.