Views
No views yet
| Name | Quant method | Size |
|---|---|---|
| Geert.Q2_K.gguf | Q2_K | 1.15GB |
| Geert.IQ3_XS.gguf | IQ3_XS | 1.22GB |
| Geert.IQ3_S.gguf | IQ3_S | 1.27GB |
| Geert.Q3_K_S.gguf | Q3_K_S | 1.27GB |
| Geert.IQ3_M.gguf | IQ3_M | 1.3GB |
| Geert.Q3_K.gguf | Q3_K | 1.36GB |
| Geert.Q3_K_M.gguf | Q3_K_M | 1.36GB |
| Geert.Q3_K_L.gguf | Q3_K_L | 1.44GB |
| Geert.IQ4_XS.gguf | IQ4_XS | 1.47GB |
| Geert.Q4_0.gguf | Q4_0 | 1.52GB |
| Geert.IQ4_NL.gguf | IQ4_NL | 1.53GB |
| Geert.Q4_K_S.gguf | Q4_K_S | 1.53GB |
| Geert.Q4_K.gguf | Q4_K | 1.59GB |
| Geert.Q4_K_M.gguf | Q4_K_M | 1.59GB |
| Geert.Q4_1.gguf | Q4_1 | 1.64GB |
| Geert.Q5_0.gguf | Q5_0 | 1.75GB |
| Geert.Q5_K_S.gguf | Q5_K_S | 1.75GB |
| Geert.Q5_K.gguf | Q5_K | 1.79GB |
| Geert.Q5_K_M.gguf | Q5_K_M | 1.79GB |
| Geert.Q5_1.gguf | Q5_1 | 1.87GB |
| Geert.Q6_K.gguf | Q6_K | 2.0GB |
| Geert.Q8_0.gguf | Q8_0 | 2.59GB |
pip install mlx-lm1from mlx_lm import load, generate
2
3model, tokenizer = load("TeunS/Geert")
4
5prompt="hello"
6
7if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
8 messages = [{"role": "user", "content": prompt}]
9 prompt = tokenizer.apply_chat_template(
10 messages, tokenize=False, add_generation_prompt=True
11 )
12
13response = generate(model, tokenizer, prompt=prompt, verbose=True)