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Browse files- README.md +52 -0
- mlc-chat-config.json +80 -0
- ndarray-cache.json +0 -0
- params_shard_0.bin +3 -0
- params_shard_101.bin +3 -0
- params_shard_103.bin +3 -0
- params_shard_106.bin +3 -0
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- params_shard_16.bin +3 -0
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- tokenizer_config.json +0 -0
README.md
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---
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library_name: mlc-llm
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base_model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
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tags:
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- mlc-llm
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- web-llm
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---
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# Cydonia-v1.3-Magnum-v4-22B-q0f16-MLC
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This is the [Cydonia-v1.3-Magnum-v4-22B](https://huggingface.co/knifeayumu/Cydonia-v1.3-Magnum-v4-22B) model in MLC format `q0f16`.
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The model can be used with [MLC-LLM](https://github.com/mlc-ai/mlc-llm) and [WebLLM](https://github.com/mlc-ai/web-llm).
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## Example Usage
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Before using the examples, please follow the [installation guide](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).
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### Chat CLI
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```bash
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mlc_llm chat HF://JackBinary/Cydonia-v1.3-Magnum-v4-22B-q0f16-MLC
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````
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### REST Server
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```bash
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mlc_llm serve HF://JackBinary/Cydonia-v1.3-Magnum-v4-22B-q0f16-MLC
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```
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### Python API
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```python
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from mlc_llm import MLCEngine
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model = "HF://JackBinary/Cydonia-v1.3-Magnum-v4-22B-q0f16-MLC"
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engine = MLCEngine(model)
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for response in engine.chat.completions.create(
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messages=[{"role": "user", "content": "What is the meaning of life?"}],
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model=model,
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stream=True,
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):
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for choice in response.choices:
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print(choice.delta.content, end="", flush=True)
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print("\n")
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engine.terminate()
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```
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## Documentation
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For more on MLC LLM, visit the [documentation](https://llm.mlc.ai/docs/) and [GitHub repo](https://github.com/mlc-ai/mlc-llm).
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mlc-chat-config.json
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{
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"version": "0.1.0",
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"model_type": "mistral",
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"quantization": "q0f16",
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"model_config": {
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"hidden_size": 6144,
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"intermediate_size": 16384,
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"num_attention_heads": 48,
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"num_hidden_layers": 56,
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"rms_norm_eps": 1e-05,
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"vocab_size": 32768,
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"position_embedding_base": 1000000.0,
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"num_key_value_heads": 8,
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"head_dim": 128,
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"context_window_size": 32768,
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"sliding_window_size": -1,
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"prefill_chunk_size": 8192,
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"attention_sink_size": 4,
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"tensor_parallel_shards": 1,
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"max_batch_size": 128
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},
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"vocab_size": 32768,
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"context_window_size": 32768,
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"sliding_window_size": -1,
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"prefill_chunk_size": 8192,
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"attention_sink_size": 4,
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"tensor_parallel_shards": 1,
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"pipeline_parallel_stages": 1,
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"temperature": 1.0,
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"presence_penalty": 0.0,
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"frequency_penalty": 0.0,
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"repetition_penalty": 1.0,
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"top_p": 1.0,
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"tokenizer_files": [
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"tokenizer.model",
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"tokenizer.json",
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"tokenizer_config.json"
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],
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"tokenizer_info": {
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"token_postproc_method": "byte_fallback",
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"prepend_space_in_encode": false,
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"strip_space_in_decode": false
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},
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"conv_template": {
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"name": "mistral_default",
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"system_template": "[INST] {system_message}",
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"system_message": "Always assist with care, respect, and truth. Respond with utmost utility yet securely. Avoid harmful, unethical, prejudiced, or negative content. Ensure replies promote fairness and positivity.",
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"system_prefix_token_ids": [
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1
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],
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"add_role_after_system_message": false,
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"roles": {
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"user": "[INST]",
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"assistant": "[/INST]",
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"tool": "[INST]"
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},
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"role_templates": {
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"user": "{user_message}",
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"assistant": "{assistant_message}",
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"tool": "{tool_message}"
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},
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"messages": [],
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"seps": [
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" "
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],
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"role_content_sep": " ",
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"role_empty_sep": "",
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"stop_str": [
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"</s>"
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],
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"stop_token_ids": [
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2
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],
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"function_string": "",
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"use_function_calling": false
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},
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"pad_token_id": 0,
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"bos_token_id": 1,
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"eos_token_id": 2
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}
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ndarray-cache.json
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tokenizer_config.json
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|