Instructions to use sthenno-com/miscii-14b-1028 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sthenno-com/miscii-14b-1028 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="sthenno-com/miscii-14b-1028")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sthenno-com/miscii-14b-1028")
model = AutoModelForCausalLM.from_pretrained("sthenno-com/miscii-14b-1028", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sthenno-com/miscii-14b-1028 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sthenno-com/miscii-14b-1028"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sthenno-com/miscii-14b-1028",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/sthenno-com/miscii-14b-1028

SGLang

How to use sthenno-com/miscii-14b-1028 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 "sthenno-com/miscii-14b-1028" \
    --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": "sthenno-com/miscii-14b-1028",
		"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 "sthenno-com/miscii-14b-1028" \
        --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": "sthenno-com/miscii-14b-1028",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sthenno-com/miscii-14b-1028 with Docker Model Runner:
```
docker model run hf.co/sthenno-com/miscii-14b-1028
```

sthenno commited on Dec 19, 2025

Commit

7fd9964

verified ·

1 Parent(s): c5296ef

Update README.md

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Files changed (1) hide show

README.md +193 -188

README.md CHANGED Viewed

@@ -1,189 +1,194 @@
----
-language:
-- zho
-- eng
-- fra
-- spa
-- por
-- deu
-- ita
-- rus
-- jpn
-- kor
-- vie
-- tha
-- ara
-license: apache-2.0
-library_name: transformers
-tags:
-- chat
-- conversational
-- custom-research
-- rp
-- roleplay
-- tool-use
-base_model:
-- Qwen/Qwen2.5-14B-Instruct
-datasets:
-- nvidia/HelpSteer2
-- google/Synthetic-Persona-Chat
-- mlabonne/orpo-dpo-mix-40k
-pipeline_tag: text-generation
-new_version: sthenno-com/miscii-14b-1225
-model-index:
-- name: miscii-14b-1028
-  results:
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: IFEval (0-Shot)
-      type: HuggingFaceH4/ifeval
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 82.37
-      name: strict accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: BBH (3-Shot)
-      type: BBH
-      args:
-        num_few_shot: 3
-    metrics:
-    - type: acc_norm
-      value: 49.26
-      name: normalized accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MATH Lvl 5 (4-Shot)
-      type: hendrycks/competition_math
-      args:
-        num_few_shot: 4
-    metrics:
-    - type: exact_match
-      value: 6.34
-      name: exact match
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: GPQA (0-shot)
-      type: Idavidrein/gpqa
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 14.21
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MuSR (0-shot)
-      type: TAUR-Lab/MuSR
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 12
-      name: acc_norm
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MMLU-PRO (5-shot)
-      type: TIGER-Lab/MMLU-Pro
-      config: main
-      split: test
-      args:
-        num_few_shot: 5
-    metrics:
-    - type: acc
-      value: 46.14
-      name: accuracy
-    source:
-      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
-      name: Open LLM Leaderboard
----
-# miscii-14b-1028
-## Role-based Instructions
-Just parse the following as your system prompt.
-Note there is NO `special-tokens` here.
-An example system prompt:
-```python
-system_prompt: str = (
-    """<|context_start|>personas<|context_sep|>
-<|persona_start|>user<|persona_sep|>
-{user_persona}<|persona_end|>
-<|persona_start|>assistant<|persona_sep|>
-{assistant_persona}<|persona_end|><|context_end|>""".format(
-        user_persona="""I am Miscii.
-I am the designer of Sthenno.
-[Optional: Additional statements]""",
-        assistant_persona="""I am Sthenno.
-I speak in Chinese.
-[Optional: Additional statements]""",
-    )
-)
-```
-## Training
-See [Report for miscii-1020](https://api.wandb.ai/links/flandrelabs-carnegie-mellon-university/p35vchzx) for more details.
------
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) (0215)
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |35.05|
-|IFEval (0-Shot)    |82.37|
-|BBH (3-Shot)       |49.26|
-|MATH Lvl 5 (4-Shot)| 6.34|
-|GPQA (0-shot)      |14.21|
-|MuSR (0-shot)      |12.00|
-|MMLU-PRO (5-shot)  |46.14|
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
-Refined:
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |42.38|
-|IFEval (0-Shot)    |82.37|
-|BBH (3-Shot)       |49.26|
-|MATH Lvl 5 (4-Shot)|50.30|
-|GPQA (0-shot)      |14.21|
-|MuSR (0-shot)      |12.00|
-|MMLU-PRO (5-shot)  |46.14|
 $$\large{\text{There's nothing more to Show}}$$

+---
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+license: apache-2.0
+library_name: transformers
+tags:
+- chat
+- conversational
+- custom-research
+- rp
+- roleplay
+- tool-use
+base_model:
+- Qwen/Qwen2.5-14B-Instruct
+datasets:
+- nvidia/HelpSteer2
+- google/Synthetic-Persona-Chat
+- mlabonne/orpo-dpo-mix-40k
+pipeline_tag: text-generation
+model-index:
+- name: miscii-14b-1028
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 82.37
+      name: strict accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 49.26
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 6.34
+      name: exact match
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 14.21
+      name: acc_norm
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 12
+      name: acc_norm
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 46.14
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sthenno-com/miscii-14b-1028
+      name: Open LLM Leaderboard
+---
+# miscii-14b-1028
+## Role-based Instructions
+Just parse the following as your system prompt.
+Note there is NO `special-tokens` here.
+An example system prompt:
+```python
+system_prompt: str = (
+    """<|context_start|>personas<|context_sep|>
+<|persona_start|>user<|persona_sep|>
+{user_persona}<|persona_end|>
+<|persona_start|>assistant<|persona_sep|>
+{assistant_persona}<|persona_end|><|context_end|>""".format(
+        user_persona="""I am Miscii.
+I am the designer of Sthenno.
+[Optional: Additional statements]""",
+        assistant_persona="""I am Sthenno.
+I speak in Chinese.
+[Optional: Additional statements]""",
+    )
+)
+```
+## Training
+See [Report for miscii-1020](https://api.wandb.ai/links/flandrelabs-carnegie-mellon-university/p35vchzx) for more details.
+-----
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) (0215)
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |35.05|
+|IFEval (0-Shot)    |82.37|
+|BBH (3-Shot)       |49.26|
+|MATH Lvl 5 (4-Shot)| 6.34|
+|GPQA (0-shot)      |14.21|
+|MuSR (0-shot)      |12.00|
+|MMLU-PRO (5-shot)  |46.14|
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Refined:
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |42.38|
+|IFEval (0-Shot)    |82.37|
+|BBH (3-Shot)       |49.26|
+|MATH Lvl 5 (4-Shot)|50.30|
+|GPQA (0-shot)      |14.21|
+|MuSR (0-shot)      |12.00|
+|MMLU-PRO (5-shot)  |46.14|
 $$\large{\text{There's nothing more to Show}}$$