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- ---
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- language:
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- - ko
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- - en
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- license: apache-2.0
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- tags:
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- - text-generation
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- - qwen2.5
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- - korean
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- - instruct
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- - mlx
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- pipeline_tag: text-generation
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- ---
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-
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- ## Qwen2.5-7B-Instruct-kowiki-qa mlx convert model
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- - Original model is [beomi/Qwen2.5-7B-Instruct-kowiki-qa](https://huggingface.co/beomi/Qwen2.5-7B-Instruct-kowiki-qa)
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-
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-
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- ## Requirement
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- - `pip install mlx-lm`
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-
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- ## Usage
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- - [Generate with CLI](https://github.com/ml-explore/mlx-examples/blob/main/llms/README.md#command-line)
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- ```bash
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- mlx_lm.generate --model sucream/Qwen2.5-7B-Instruct-kowiki-qa --prompt "ν•˜λŠ˜μ΄ νŒŒλž€ μ΄μœ κ°€ 뭐야?"
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- ```
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-
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- - [In Python](https://github.com/ml-explore/mlx-examples/blob/main/llms/README.md#python-api)
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- ```python
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- from mlx_lm import load, generate
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-
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- model, tokenizer = load(
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- "sucream/Qwen2.5-7B-Instruct-kowiki-qa",
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- tokenizer_config={"trust_remote_code": True},
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- )
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-
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- prompt = "ν•˜λŠ˜μ΄ νŒŒλž€ μ΄μœ κ°€ 뭐야?"
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-
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- messages = [
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- {"role": "system", "content": "당신은 μΉœμ² ν•œ μ±—λ΄‡μž…λ‹ˆλ‹€."},
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- {"role": "user", "content": prompt},
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- ]
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- prompt = tokenizer.apply_chat_template(
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- messages,
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- tokenize=False,
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- add_generation_prompt=True,
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- )
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-
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- text = generate(
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- model,
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- tokenizer,
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- prompt=prompt,
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- # verbose=True,
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- # max_tokens=8196,
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- # temp=0.0,
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- )
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- ```
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-
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- - [OpenAI Compitable HTTP Server](https://github.com/ml-explore/mlx-examples/blob/main/llms/mlx_lm/SERVER.md)
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- ```bash
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- mlx_lm.server --model sucream/Qwen2.5-7B-Instruct-kowiki-qa --host 0.0.0.0
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- ```
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-
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- ```python
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- import openai
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-
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-
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- client = openai.OpenAI(
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- base_url="http://localhost:8080/v1",
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- )
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-
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- prompt = "ν•˜λŠ˜μ΄ νŒŒλž€ μ΄μœ κ°€ 뭐야?"
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-
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- messages = [
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- {"role": "system", "content": "당신은 μΉœμ ˆν•œ μ±—λ΄‡μž…λ‹ˆλ‹€.",},
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- {"role": "user", "content": prompt},
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- ]
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- res = client.chat.completions.create(
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- model='sucream/Qwen2.5-7B-Instruct-kowiki-qa',
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- messages=messages,
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- temperature=0.2,
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- )
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-
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- print(res.choices[0].message.content)
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  ```
 
1
+ ---
2
+ language:
3
+ - ko
4
+ - en
5
+ license: apache-2.0
6
+ tags:
7
+ - text-generation
8
+ - qwen2.5
9
+ - korean
10
+ - instruct
11
+ - mlx
12
+ pipeline_tag: text-generation
13
+ ---
14
+
15
+ ## Qwen2.5-7B-Instruct-kowiki-qa mlx convert model
16
+ - Original model is [beomi/Qwen2.5-7B-Instruct-kowiki-qa](https://huggingface.co/beomi/Qwen2.5-7B-Instruct-kowiki-qa)
17
+
18
+
19
+ ## Requirement
20
+ - `pip install mlx-lm`
21
+
22
+ ## Usage
23
+ - [Generate with CLI](https://github.com/ml-explore/mlx-examples/blob/main/llms/README.md#command-line)
24
+ ```bash
25
+ mlx_lm.generate --model mlx-community/Qwen2.5-7B-Instruct-kowiki-qa --prompt "ν•˜λŠ˜μ΄ νŒŒλž€ μ΄μœ κ°€ 뭐야?"
26
+ ```
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+
28
+ - [In Python](https://github.com/ml-explore/mlx-examples/blob/main/llms/README.md#python-api)
29
+ ```python
30
+ from mlx_lm import load, generate
31
+
32
+ model, tokenizer = load(
33
+ "mlx-community/Qwen2.5-7B-Instruct-kowiki-qa",
34
+ tokenizer_config={"trust_remote_code": True},
35
+ )
36
+
37
+ prompt = "ν•˜λŠ˜μ΄ νŒŒλž€ μ΄μœ κ°€ 뭐야?"
38
+
39
+ messages = [
40
+ {"role": "system", "content": "당신은 μΉœμ² ν•œ μ±—λ΄‡μž…λ‹ˆλ‹€."},
41
+ {"role": "user", "content": prompt},
42
+ ]
43
+ prompt = tokenizer.apply_chat_template(
44
+ messages,
45
+ tokenize=False,
46
+ add_generation_prompt=True,
47
+ )
48
+
49
+ text = generate(
50
+ model,
51
+ tokenizer,
52
+ prompt=prompt,
53
+ # verbose=True,
54
+ # max_tokens=8196,
55
+ # temp=0.0,
56
+ )
57
+ ```
58
+
59
+ - [OpenAI Compitable HTTP Server](https://github.com/ml-explore/mlx-examples/blob/main/llms/mlx_lm/SERVER.md)
60
+ ```bash
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+ mlx_lm.server --model mlx-community/Qwen2.5-7B-Instruct-kowiki-qa --host 0.0.0.0
62
+ ```
63
+
64
+ ```python
65
+ import openai
66
+
67
+
68
+ client = openai.OpenAI(
69
+ base_url="http://localhost:8080/v1",
70
+ )
71
+
72
+ prompt = "ν•˜λŠ˜μ΄ νŒŒλž€ μ΄μœ κ°€ 뭐야?"
73
+
74
+ messages = [
75
+ {"role": "system", "content": "당신은 μΉœμ ˆν•œ μ±—λ΄‡μž…λ‹ˆλ‹€.",},
76
+ {"role": "user", "content": prompt},
77
+ ]
78
+ res = client.chat.completions.create(
79
+ model='mlx-community/Qwen2.5-7B-Instruct-kowiki-qa',
80
+ messages=messages,
81
+ temperature=0.2,
82
+ )
83
+
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+ print(res.choices[0].message.content)
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  ```