Instructions to use mixtao/MixTAO-7Bx2-MoE-v8.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mixtao/MixTAO-7Bx2-MoE-v8.1 with Transformers:

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

pipe = pipeline("text-generation", model="mixtao/MixTAO-7Bx2-MoE-v8.1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mixtao/MixTAO-7Bx2-MoE-v8.1")
model = AutoModelForCausalLM.from_pretrained("mixtao/MixTAO-7Bx2-MoE-v8.1", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mixtao/MixTAO-7Bx2-MoE-v8.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mixtao/MixTAO-7Bx2-MoE-v8.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mixtao/MixTAO-7Bx2-MoE-v8.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/mixtao/MixTAO-7Bx2-MoE-v8.1

SGLang

How to use mixtao/MixTAO-7Bx2-MoE-v8.1 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 "mixtao/MixTAO-7Bx2-MoE-v8.1" \
    --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": "mixtao/MixTAO-7Bx2-MoE-v8.1",
		"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 "mixtao/MixTAO-7Bx2-MoE-v8.1" \
        --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": "mixtao/MixTAO-7Bx2-MoE-v8.1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mixtao/MixTAO-7Bx2-MoE-v8.1 with Docker Model Runner:
```
docker model run hf.co/mixtao/MixTAO-7Bx2-MoE-v8.1
```

Adding Evaluation Results

by leaderboard-pr-bot - opened Jul 18, 2024

base: refs/heads/main

←

from: refs/pr/9

Discussion Files changed

+112

-13

Files changed (1) hide show

README.md +112 -13

README.md CHANGED Viewed

@@ -20,8 +20,7 @@ model-index:
       value: 73.81
       name: normalized accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -37,8 +36,7 @@ model-index:
       value: 89.22
       name: normalized accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -55,8 +53,7 @@ model-index:
       value: 64.92
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -72,8 +69,7 @@ model-index:
     - type: mc2
       value: 78.57
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -90,8 +86,7 @@ model-index:
       value: 87.37
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -108,8 +103,99 @@ model-index:
       value: 71.11
       name: accuracy
     source:
-      url: >-
-        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
 ---
@@ -143,4 +229,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 |MMLU (5-Shot)                    |64.92|
 |TruthfulQA (0-shot)              |78.57|
 |Winogrande (5-shot)              |87.37|
-|GSM8k (5-shot)                   |71.11|

       value: 73.81
       name: normalized accuracy
     source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 89.22
       name: normalized accuracy
     source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 64.92
       name: accuracy
     source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
     - type: mc2
       value: 78.57
     source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 87.37
       name: accuracy
     source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
   - task:
       type: text-generation
       value: 71.11
       name: accuracy
     source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
+      name: Open LLM Leaderboard
+  - 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: 41.88
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
+      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: 19.18
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
+      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: 5.97
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
+      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: 6.49
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
+      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: 8.3
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
+      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: 20.52
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
       name: Open LLM Leaderboard
 ---
 |MMLU (5-Shot)                    |64.92|
 |TruthfulQA (0-shot)              |78.57|
 |Winogrande (5-shot)              |87.37|
+|GSM8k (5-shot)                   |71.11|
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_zhengr__MixTAO-7Bx2-MoE-v8.1)
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |17.06|
+|IFEval (0-Shot)    |41.88|
+|BBH (3-Shot)       |19.18|
+|MATH Lvl 5 (4-Shot)| 5.97|
+|GPQA (0-shot)      | 6.49|
+|MuSR (0-shot)      | 8.30|
+|MMLU-PRO (5-shot)  |20.52|