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| Name | Quant method | Size |
|---|---|---|
| danskgpt-tiny.Q2_K.gguf | Q2_K | 0.4GB |
| danskgpt-tiny.IQ3_XS.gguf | IQ3_XS | 0.44GB |
| danskgpt-tiny.IQ3_S.gguf | IQ3_S | 0.47GB |
| danskgpt-tiny.Q3_K_S.gguf | Q3_K_S | 0.47GB |
| danskgpt-tiny.IQ3_M.gguf | IQ3_M | 0.48GB |
| danskgpt-tiny.Q3_K.gguf | Q3_K | 0.51GB |
| danskgpt-tiny.Q3_K_M.gguf | Q3_K_M | 0.51GB |
| danskgpt-tiny.Q3_K_L.gguf | Q3_K_L | 0.55GB |
| danskgpt-tiny.IQ4_XS.gguf | IQ4_XS | 0.57GB |
| danskgpt-tiny.Q4_0.gguf | Q4_0 | 0.59GB |
| danskgpt-tiny.IQ4_NL.gguf | IQ4_NL | 0.6GB |
| danskgpt-tiny.Q4_K_S.gguf | Q4_K_S | 0.6GB |
| danskgpt-tiny.Q4_K.gguf | Q4_K | 0.62GB |
| danskgpt-tiny.Q4_K_M.gguf | Q4_K_M | 0.62GB |
| danskgpt-tiny.Q4_1.gguf | Q4_1 | 0.65GB |
| danskgpt-tiny.Q5_0.gguf | Q5_0 | 0.71GB |
| danskgpt-tiny.Q5_K_S.gguf | Q5_K_S | 0.71GB |
| danskgpt-tiny.Q5_K.gguf | Q5_K | 0.73GB |
| danskgpt-tiny.Q5_K_M.gguf | Q5_K_M | 0.73GB |
| danskgpt-tiny.Q5_1.gguf | Q5_1 | 0.77GB |
| danskgpt-tiny.Q6_K.gguf | Q6_K | 0.84GB |
| danskgpt-tiny.Q8_0.gguf | Q8_0 | 1.09GB |
pip install vllm1from vllm import LLM, SamplingParams
2
3sampling_params = SamplingParams(temperature=0.8, top_p=0.95, max_tokens=512)
4llm = LLM(model="mhenrichsen/danskgpt-tiny")
5
6while True:
7 prompt = input("Skriv: ")
8 outputs = llm.generate(prompt, sampling_params)
9 for output in outputs:
10 prompt = output.prompt
11 generated_text = output.outputs[0].text
12 print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
13