Text Generation
Transformers
Safetensors
qwen3
Generated from Trainer
trl
grpo
conversational
text-generation-inference
Instructions to use cs-552-2026-MMRF/multilingual_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cs-552-2026-MMRF/multilingual_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cs-552-2026-MMRF/multilingual_model") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cs-552-2026-MMRF/multilingual_model") model = AutoModelForCausalLM.from_pretrained("cs-552-2026-MMRF/multilingual_model", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cs-552-2026-MMRF/multilingual_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cs-552-2026-MMRF/multilingual_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-MMRF/multilingual_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cs-552-2026-MMRF/multilingual_model
- SGLang
How to use cs-552-2026-MMRF/multilingual_model with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "cs-552-2026-MMRF/multilingual_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-MMRF/multilingual_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "cs-552-2026-MMRF/multilingual_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-MMRF/multilingual_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use cs-552-2026-MMRF/multilingual_model with Docker Model Runner:
docker model run hf.co/cs-552-2026-MMRF/multilingual_model
Update Automated MNLP evaluation report (2026-05-13)
Browse files- EVAL_REPORT.md +66 -19
EVAL_REPORT.md
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
|
| 3 |
- **Model repo:** [`cs-552-2026-MMRF/multilingual_model`](https://huggingface.co/cs-552-2026-MMRF/multilingual_model)
|
| 4 |
- **Owner(s):** group **MMRF**
|
| 5 |
-
- **Generated at:** 2026-05-
|
| 6 |
- **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
|
| 7 |
|
| 8 |
_This PR is opened automatically by the course CI. It is **non-blocking** — you do not need to merge it. The next nightly run will refresh this file._
|
|
@@ -13,7 +13,7 @@ _This PR is opened automatically by the course CI. It is **non-blocking** — yo
|
|
| 13 |
|---|---:|---|
|
| 14 |
| Math | — | not run |
|
| 15 |
| Knowledge | — | not run |
|
| 16 |
-
| Multilingual | 0.
|
| 17 |
| Safety | — | not run |
|
| 18 |
|
| 19 |
## Sample completions
|
|
@@ -24,51 +24,98 @@ _Prompts are intentionally omitted to avoid revealing benchmark contents. For mu
|
|
| 24 |
|
| 25 |
**Correct** (1 shown)
|
| 26 |
|
| 27 |
-
- **reference**: `
|
| 28 |
- **overall** (1/1 completions correct)
|
| 29 |
-
- **extracted** (✓): `
|
| 30 |
- **completion**:
|
| 31 |
|
| 32 |
```text
|
| 33 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
|
| 35 |
-
|
| 36 |
|
| 37 |
-
|
| 38 |
|
| 39 |
-
|
|
|
|
|
|
|
| 40 |
</think>
|
| 41 |
|
| 42 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
|
| 44 |
-
|
| 45 |
|
| 46 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
```
|
| 48 |
|
| 49 |
**Incorrect** (1 shown)
|
| 50 |
|
| 51 |
- **reference**: `D`
|
| 52 |
- **overall** (0/1 completions correct)
|
| 53 |
-
- **extracted** (✗): `
|
| 54 |
- **completion**:
|
| 55 |
|
| 56 |
```text
|
| 57 |
Okay, let's try to figure out this question. The question is about geography education and which issues should be considered in developing a perspective. The options are A to D.
|
| 58 |
|
| 59 |
-
First, I need to understand what the question is asking. It's about the key issues that should be addressed when developing a perspective in geography education. The answer choices are different
|
| 60 |
|
| 61 |
... [truncated 823 chars] ...
|
| 62 |
|
| 63 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 64 |
|
| 65 |
-
|
| 66 |
|
| 67 |
-
|
| 68 |
|
| 69 |
-
|
| 70 |
|
| 71 |
-
|
| 72 |
|
| 73 |
-
|
|
|
|
|
|
|
|
|
|
| 74 |
```
|
|
|
|
| 2 |
|
| 3 |
- **Model repo:** [`cs-552-2026-MMRF/multilingual_model`](https://huggingface.co/cs-552-2026-MMRF/multilingual_model)
|
| 4 |
- **Owner(s):** group **MMRF**
|
| 5 |
+
- **Generated at:** 2026-05-13T23:30:17+00:00 (UTC)
|
| 6 |
- **Pipeline:** [mnlp-project-ci](https://github.com/eric11eca/mnlp-project-ci)
|
| 7 |
|
| 8 |
_This PR is opened automatically by the course CI. It is **non-blocking** — you do not need to merge it. The next nightly run will refresh this file._
|
|
|
|
| 13 |
|---|---:|---|
|
| 14 |
| Math | — | not run |
|
| 15 |
| Knowledge | — | not run |
|
| 16 |
+
| Multilingual | 0.5100 | ok |
|
| 17 |
| Safety | — | not run |
|
| 18 |
|
| 19 |
## Sample completions
|
|
|
|
| 24 |
|
| 25 |
**Correct** (1 shown)
|
| 26 |
|
| 27 |
+
- **reference**: `B`
|
| 28 |
- **overall** (1/1 completions correct)
|
| 29 |
+
- **extracted** (✓): `B`
|
| 30 |
- **completion**:
|
| 31 |
|
| 32 |
```text
|
| 33 |
+
嗯,我现在要解决这个问题:动物性食品中能提供一定数量碳水化合物的有哪几项,选项是A到D。首先,我需要回忆一下动物性食品中哪些含有碳水化合物。
|
| 34 |
+
|
| 35 |
+
首先,碳水化合物主要包括糖类、淀粉和纤维素等。在动物性食品中,通常蛋白质和脂肪含量较高,而碳水化合物可能较少。不过,有些动物性食品可能含有一定的碳水化合物,比如水果和蔬菜,但这里题目是动物性食品,所以可能需要考虑肉类、鱼类、蛋类、奶类等。
|
| 36 |
+
|
| 37 |
+
首先看选项A,猪肉。猪肉属于肉类,主要成分是蛋白质和脂肪,通常含有较少的碳水化合物。不过,可能有些部位的肉含有少量的碳水化合物,比如脂肪中的甘油三酯,但一般情况下,猪肉的碳水化合物含量应该比较低,可能不算是主要来源。
|
| 38 |
+
|
| 39 |
+
然后是选项B,奶类。奶类,比如牛奶,含有蛋白质、脂肪和钙,但碳水化合物主要来自乳糖,也就是牛奶中的糖分。乳糖是碳水化合物的一种,所以奶类确实含有碳水化合物。不过,需要确认是否属于动物性食品中的碳水化合物来源。奶类属于动物性食品,所以B选项是正确的。
|
| 40 |
+
|
| 41 |
+
选项C,鱼肉。鱼类同样属于动物性食品,鱼肉的主要成分是蛋白质和脂肪,但有些鱼类可能含有少量的碳水化合物,比如某些鱼类的肌肉组织中可能有少量的糖分,但通常来说,鱼肉的碳水化合物含量可能不如奶类高。不过,可能需要具体分析,比如某些鱼类是否含有较多的碳水化合物。不过一般来说,鱼肉的碳水化合物含量可能较低,所以可能不是主要来源。
|
| 42 |
|
| 43 |
+
选项D,牛肉。牛肉属于肉类,主要成分是蛋白质和脂肪,碳水化合物含量也很低,所以可能不选。
|
| 44 |
|
| 45 |
+
不过,我需要再仔细确认一下。比如,奶类中的乳糖是碳水化合物,而其他动物性食品中是否有其他碳水化合物?比如,蛋类中的卵磷脂可能含有少量的碳水化合物,但蛋黄中的糖分可能较少。不过题目中的选项没有提到蛋类,所以可能不选。
|
| 46 |
|
| 47 |
+
所以,正确的选项应该是B,奶类,因为奶类中的乳糖是碳水化合物,而其他选项中的肉类和鱼类通常不含或含较少的碳水化合物。不过,可能需要确认是否所有动物性食品都含有碳水化合物,但题目问的是“能提供一定数量”,所以可能需要考虑是否这些选项中有的含有一定量的碳水化合物。
|
| 48 |
+
|
| 49 |
+
比如,猪肉是否含有碳水化合物?可能有,但可能不如奶类高。比如,肉类中的碳水化合物可能来自脂肪中的甘油三酯,但含量非常少,所以可能不认为是主要来源。因此,正确答案应该是B选项,奶类。
|
| 50 |
</think>
|
| 51 |
|
| 52 |
+
在动物性食品中,碳水化合物的来源主要包括乳糖、纤维素、果糖等。以下是对各选项的分析:
|
| 53 |
+
|
| 54 |
+
---
|
| 55 |
+
|
| 56 |
+
### A. 猪肉
|
| 57 |
+
猪肉是典型的动物性蛋白质来源,主要成分是蛋白质和脂肪,其碳水化合物含量非常低,通常不被视为主要碳水化合物来源。
|
| 58 |
+
|
| 59 |
+
---
|
| 60 |
+
|
| 61 |
+
### B. 奶类
|
| 62 |
+
奶类(如牛奶)是动物性食品中碳水化合物的主要来源之一,其中乳糖是唯一的碳水化合物,含量相对较高。因此,奶类能提供一定数量的碳水化合物。
|
| 63 |
|
| 64 |
+
---
|
| 65 |
|
| 66 |
+
### C. 鱼肉
|
| 67 |
+
鱼肉属于动物性食品,主要成分是蛋白质和脂肪,其碳水化合物含量通常较低,一般不被视为主要碳水化合物来源。
|
| 68 |
+
|
| 69 |
+
---
|
| 70 |
+
|
| 71 |
+
### D. 牛肉
|
| 72 |
+
牛肉与猪肉类似,是动物性食品中蛋白质和脂肪的主要来源,碳水化合物含量也很低,通常不提供显著的碳水化合物。
|
| 73 |
+
|
| 74 |
+
---
|
| 75 |
+
|
| 76 |
+
### 结论
|
| 77 |
+
在动物性食品中,**奶类**是能提供一定数量碳水化合物的选项。其他选项(猪肉、鱼肉、牛肉)的碳水化合物含量较低或不显著。
|
| 78 |
+
|
| 79 |
+
---
|
| 80 |
+
|
| 81 |
+
**最终答案:**
|
| 82 |
+
$$
|
| 83 |
+
\boxed{B}
|
| 84 |
+
$$
|
| 85 |
```
|
| 86 |
|
| 87 |
**Incorrect** (1 shown)
|
| 88 |
|
| 89 |
- **reference**: `D`
|
| 90 |
- **overall** (0/1 completions correct)
|
| 91 |
+
- **extracted** (✗): `A, B, C, D`
|
| 92 |
- **completion**:
|
| 93 |
|
| 94 |
```text
|
| 95 |
Okay, let's try to figure out this question. The question is about geography education and which issues should be considered in developing a perspective. The options are A to D.
|
| 96 |
|
| 97 |
+
First, I need to understand what the question is asking. It's about the key issues that should be addressed when developing a perspective in geography education. The answer choices are different aspects like resources and
|
| 98 |
|
| 99 |
... [truncated 823 chars] ...
|
| 100 |
|
| 101 |
+
िक्षण के विकास में अपने संदर्भ में निम्नलिखित मुद्दों के विवेचन के अनुसार विकास करना चाहिए:
|
| 102 |
+
|
| 103 |
+
1. **संसाधन और संरक्षण (A)**: भूगोल शिक्षण विविध विकल्पों में उपलब्ध संसाधनों के विस्तार और उनकी उपयोग के अध्ययन के अंतर्गत जुड़ता है। इसके अतिरिक्त, विविध विकल्पों के अंतर्गत अनुशं संरक्षण और उपयोग के अध्ययन भी महत्वपूर्ण हैं।
|
| 104 |
+
|
| 105 |
+
2. **विकास और विस्थापन (B)**: भूगोल शिक्षण विकास और विस्थापन के अंतर्गत उत्पादन और आवास बदलाव के अंतर्गत जुड़ता है। यह विविध विकल्पों में आवास बदलाव और विस्थापन के अंतर्गत जुड़ता है।
|
| 106 |
+
|
| 107 |
+
3. **विविधता में एकता से जुड़ी चुनौतियाँ (C)**: भूगोल शिक्षण विविधता और एकता के अंतर्गत जुड़ता है। यह अनुशं विविध जातियों, अवस्थिति, और अन्य संस्कृतियों के अंतर्गत जुड़ता है।
|
| 108 |
|
| 109 |
+
4. **मानव विकास (D)**: भूगोल शिक्षण मानव विकास के अंतर्गत जुड़ता है, जो आवास, स्वास्थ्य, और अन्य जीवन विकास के अंतर्गत जुड़ता है।
|
| 110 |
|
| 111 |
+
---
|
| 112 |
|
| 113 |
+
**संकल्पना**: भूगोल शिक्षण के विकास में अपने संदर्भ में अनेक मुद्दों के विवेचन के अनुसार विकास करना चाहिए। इनमें संसाधन और संरक्षण, विकास और विस्थापन, विविधता में एकता से जुड़ी चुनौतियाँ, और मानव विकास ज्यादा अनुशं अंतर्गत जुड़ता है।
|
| 114 |
|
| 115 |
+
---
|
| 116 |
|
| 117 |
+
**संक्षेप में**: भूगोल शिक्षण के विकास में अपने संदर्भ में निम्नलिखित मुद्दों के विवेचन के अनुसार विकास करना चाहिए:
|
| 118 |
+
$$
|
| 119 |
+
\boxed{A, B, C, D}
|
| 120 |
+
$$
|
| 121 |
```
|