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Model: kaitchup/DeepSeek-R1-Distill-Qwen-14B-AutoRound-GPTQ-4bit Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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library_name: transformers
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tags:
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- auto-gptq
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- AutoRound
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license: apache-2.0
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---
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## Model Details
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This is [DeepSeek-R1-Distill-Qwen-14B](deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) quantized with [AutoRound](https://github.com/intel/auto-round/tree/main) (symmetric quantization) and serialized with the GPTQ format in 4-bit. The model has been created, tested, and evaluated by The Kaitchup.
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Details on the quantization process and how to use the model here:
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[DeepSeek-R1: Reinforcement Learning with Simple and Verifiable Rewards](https://kaitchup.substack.com/p/deepseek-r1-reinforcement-learning)
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- **Developed by:** [The Kaitchup](https://kaitchup.substack.com/)
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0 license
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config.json
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config.json
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{
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"_name_or_path": "DeepSeek-R1-Distill-Qwen-14B-AutoRound-GPTQ-4bit",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 131072,
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"max_window_layers": 48,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"quantization_config": {
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"batch_size": 4,
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"bits": 4,
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"cache_block_outputs": true,
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"dataset": null,
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"desc_act": false,
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"exllama_config": {
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"version": 1
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},
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"group_size": 128,
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"max_input_length": null,
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"module_name_preceding_first_block": null,
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"quant_method": "gptq",
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"sym": true,
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"tokenizer": null,
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"true_sequential": false,
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"use_cuda_fp16": false,
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"use_exllama": true
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.47.1",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 151646,
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"do_sample": true,
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"temperature": 0.6,
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"top_p": 0.95,
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}
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special_tokens_map.json
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"151646": {
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"content": "<|begin▁of▁sentence|>",
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"lstrip": false,
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"rstrip": false,
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"151648": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"151658": {
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"content": "</tool_call>",
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"lstrip": false,
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"151659": {
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"rstrip": false,
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"content": "<|fim_pad|>",
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}
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},
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"bos_token": "<|begin▁of▁sentence|>",
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|>'}}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|end▁of▁sentence|>",
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"extra_special_tokens": {},
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"legacy": true,
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"max_length": 2048,
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"pad_token": "<|end▁of▁sentence|>",
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"sp_model_kwargs": {},
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"stride": 0,
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"tokenizer_class": "LlamaTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": null,
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"use_default_system_prompt": false
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}
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