Text Generation
Transformers
Safetensors
qwen2
mergekit
Merge
conversational
Eval Results (legacy)
text-generation-inference
Instructions to use suayptalha/HomerCreativeAnvita-Mix-Qw7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suayptalha/HomerCreativeAnvita-Mix-Qw7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="suayptalha/HomerCreativeAnvita-Mix-Qw7B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("suayptalha/HomerCreativeAnvita-Mix-Qw7B") model = AutoModelForMultimodalLM.from_pretrained("suayptalha/HomerCreativeAnvita-Mix-Qw7B") 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 suayptalha/HomerCreativeAnvita-Mix-Qw7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "suayptalha/HomerCreativeAnvita-Mix-Qw7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "suayptalha/HomerCreativeAnvita-Mix-Qw7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/suayptalha/HomerCreativeAnvita-Mix-Qw7B
- SGLang
How to use suayptalha/HomerCreativeAnvita-Mix-Qw7B 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 "suayptalha/HomerCreativeAnvita-Mix-Qw7B" \ --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": "suayptalha/HomerCreativeAnvita-Mix-Qw7B", "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 "suayptalha/HomerCreativeAnvita-Mix-Qw7B" \ --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": "suayptalha/HomerCreativeAnvita-Mix-Qw7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use suayptalha/HomerCreativeAnvita-Mix-Qw7B with Docker Model Runner:
docker model run hf.co/suayptalha/HomerCreativeAnvita-Mix-Qw7B
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| base_model: | |
| - ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix | |
| - ZeroXClem/Qwen2.5-7B-HomerCreative-Mix | |
| model-index: | |
| - name: HomerCreativeAnvita-Mix-Qw7B | |
| 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: 78.08 | |
| name: strict accuracy | |
| source: | |
| url: >- | |
| https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B | |
| 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: 36.98 | |
| name: normalized accuracy | |
| source: | |
| url: >- | |
| https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B | |
| 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: 31.04 | |
| name: exact match | |
| source: | |
| url: >- | |
| https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B | |
| 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: 8.61 | |
| name: acc_norm | |
| source: | |
| url: >- | |
| https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B | |
| 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: 14.73 | |
| name: acc_norm | |
| source: | |
| url: >- | |
| https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B | |
| 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: 38.28 | |
| name: accuracy | |
| source: | |
| url: >- | |
| https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B | |
| name: Open LLM Leaderboard | |
| license: apache-2.0 | |
| # Merged Model | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
|  | |
| This model is currently ranked #3 on the Open LLM Leaderboard among models up to 8B parameters and #5 among models up to 13B parameters! | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the SLERP merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix) | |
| * [ZeroXClem/Qwen2.5-7B-HomerCreative-Mix](https://huggingface.co/ZeroXClem/Qwen2.5-7B-HomerCreative-Mix) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| base_model: ZeroXClem/Qwen2.5-7B-HomerCreative-Mix | |
| dtype: bfloat16 | |
| merge_method: slerp | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: [0.0, 0.5, 0.3, 0.7, 1.0] | |
| - filter: mlp | |
| value: [1.0, 0.5, 0.7, 0.3, 0.0] | |
| - value: 0.5 | |
| slices: | |
| - sources: | |
| - layer_range: [0, 28] | |
| model: ZeroXClem/Qwen2.5-7B-HomerCreative-Mix | |
| - layer_range: [0, 28] | |
| model: ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix | |
| ``` | |
| # [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_suayptalha__HomerCreativeAnvita-Mix-Qw7B) | |
| | Metric |Value| | |
| |-------------------|----:| | |
| |Avg. |34.62| | |
| |IFEval (0-Shot) |78.08| | |
| |BBH (3-Shot) |36.98| | |
| |MATH Lvl 5 (4-Shot)|31.04| | |
| |GPQA (0-shot) | 8.61| | |
| |MuSR (0-shot) |14.73| | |
| |MMLU-PRO (5-shot) |38.28| | |
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