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Quake

MLC-LLM
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Muhammad Mubeen ASIF commited on
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Add Aftershock model weights

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  1. README.md +57 -0
  2. mlc-chat-config.json +90 -0
  3. ndarray-cache.json +0 -0
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README.md ADDED
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+ ---
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+ library_name: mlc-llm
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+ base_model: meta-llama/Llama-3.2-3B-Instruct
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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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+
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+ # Llama-3.2-3B-Instruct-q4f16_1-MLC
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+
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+ This is the [Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) model in MLC format `q4f16_1`.
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+ The model can be used for projects [MLC-LLM](https://github.com/mlc-ai/mlc-llm) and [WebLLM](https://github.com/mlc-ai/web-llm).
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+
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+ ## Example Usage
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+
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+ Here are some examples of using this model in MLC LLM.
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+ Before running the examples, please install MLC LLM by following the [installation documentation](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).
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+
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+ ### Chat
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+
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+ In command line, run
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+ ```bash
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+ mlc_llm chat HF://mlc-ai/Llama-3.2-3B-Instruct-q4f16_1-MLC
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+ ```
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+
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+ ### REST Server
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+
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+ In command line, run
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+ ```bash
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+ mlc_llm serve HF://mlc-ai/Llama-3.2-3B-Instruct-q4f16_1-MLC
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+ ```
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+
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+ ### Python API
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+
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+ ```python
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+ from mlc_llm import MLCEngine
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+
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+ # Create engine
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+ model = "HF://mlc-ai/Llama-3.2-3B-Instruct-q4f16_1-MLC"
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+ engine = MLCEngine(model)
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+
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+ # Run chat completion in OpenAI API.
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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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+
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+ engine.terminate()
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+ ```
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+
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+ ## Documentation
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+
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+ For more information on MLC LLM project, please visit our [documentation](https://llm.mlc.ai/docs/) and [GitHub repo](http://github.com/mlc-ai/mlc-llm).
mlc-chat-config.json ADDED
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+ {
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+ "version": "0.1.0",
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+ "model_type": "llama",
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+ "quantization": "q4f16_1",
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+ "model_config": {
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+ "hidden_size": 3072,
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+ "intermediate_size": 8192,
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+ "num_attention_heads": 24,
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+ "num_hidden_layers": 28,
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+ "rms_norm_eps": 1e-05,
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+ "vocab_size": 128256,
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+ "tie_word_embeddings": true,
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+ "position_embedding_base": 500000.0,
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+ "rope_scaling": {
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+ "factor": 32.0,
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+ "high_freq_factor": 4.0,
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+ "low_freq_factor": 1.0,
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+ "original_max_position_embeddings": 8192,
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+ "rope_type": "llama3"
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+ },
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+ "context_window_size": 131072,
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+ "prefill_chunk_size": 8192,
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+ "num_key_value_heads": 8,
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+ "head_dim": 128,
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+ "tensor_parallel_shards": 1,
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+ "pipeline_parallel_stages": 1,
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+ "max_batch_size": 128
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+ },
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+ "vocab_size": 128256,
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+ "context_window_size": 131072,
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+ "sliding_window_size": -1,
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+ "prefill_chunk_size": 8192,
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+ "attention_sink_size": -1,
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+ "tensor_parallel_shards": 1,
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+ "pipeline_parallel_stages": 1,
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+ "temperature": 0.6,
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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": 0.9,
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+ "tokenizer_files": [
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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_level",
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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": "llama-3_1",
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+ "system_template": "<|start_header_id|>system<|end_header_id|>\n\n{system_message}<|eot_id|>",
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+ "system_message": "You are a seasoned disaster-response expert—someone who has weathered earthquakes, hurricanes, floods, and other catastrophic events, improvising under extreme pressure. The user may be trapped or endangered by a recent disaster with no outside rescue currently available. Your role is to provide urgent, direct instructions to survive, secure temporary safety, and potentially signal for help right now. No long explanations, no disclaimers, no future-preparation advice (unless asked), and no environmental ethics. Short, clear, and immediately actionable steps only. Focus on what they can do this moment to stay alive until rescue or relief arrives.",
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+ "system_prefix_token_ids": [
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+ 128000
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+ ],
57
+ "add_role_after_system_message": true,
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+ "roles": {
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+ "user": "<|start_header_id|>user",
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+ "assistant": "<|start_header_id|>assistant",
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+ "tool": "<|start_header_id|>ipython"
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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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+ "<|eot_id|>"
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+ ],
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+ "role_content_sep": "<|end_header_id|>\n\n",
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+ "role_empty_sep": "<|end_header_id|>\n\n",
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+ "stop_str": [],
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+ "stop_token_ids": [
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+ 128001,
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+ 128008,
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+ 128009
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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": 128000,
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+ "eos_token_id": [
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+ 128001,
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+ 128008,
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+ 128009
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+ ]
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+ }
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+ size 31469568
params_shard_48.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b491ccf6d5958d4bcceba41f8bf32408d6c0a47ede5eddda45ff9ecf406562d1
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+ size 25165824
params_shard_49.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b838c2c0c86795ed8a6130133be330ee58dedc4054218a65f5e629f114f7b3d1
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+ size 31469568
params_shard_5.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:51828e11f883e8958a0f9f167511cb93b317c54125436e8413a6873950a3499f
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+ size 31469568
params_shard_50.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:073a1286f7b065fc516f81ca815bb0bad5fb45f446ef27c8581aa4719dc93cab
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+ size 25165824