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Model: mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1
Source: Original Platform

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README.md

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+---
+license: mit
+train: false
+inference: true
+pipeline_tag: text-generation
+base_model:
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+---
+This is a version of the <a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B">DeepSeek-R1-Distill-Qwen-7B</a> model re-distilled for better performance.
+
+## Performance
+
+| Models            | <a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B">DeepSeek-R1-Distill-Qwen-7B</a> | <a href="https://huggingface.co/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1">DeepSeek-R1-ReDistill-Qwen-7B-v1.1</a> | 
+|:-------------------:|:--------:|:----------------:|
+| ARC (25-shot)      | <b>55.03</b> | 52.3 | 
+| HellaSwag (10-shot)| 61.9  | <b>62.36</b> |
+| MMLU (5-shot)      | 56.75 | <b>59.53</b> | 
+| TruthfulQA-MC2     | 45.76 | <b>47.7</b> | 
+| Winogrande (5-shot)| 60.38 | <b>61.8</b> | 
+| GSM8K (5-shot)     | 78.85 | <b>83.4</b> | 
+| Average            | 59.78 | <b>61.18</b> | 
+
+| Models            | <a href="https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B">DeepSeek-R1-Distill-Qwen-7B</a> | <a href="https://huggingface.co/mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1">DeepSeek-R1-ReDistill-Qwen-7B-v1.1</a>  | 
+|:-------------------:|:--------:|:----------------:|
+| GPQA (0-shot)     | 30.9  | <b>34.99</b> | 
+| MMLU PRO (5-shot) | 28.83 | <b>31.02</b> | 
+| MUSR (0-shot)     | 38.85 | <b>44.42</b> | 
+| BBH (3-shot)      | 43.54 | <b>51.53</b> | 
+| IfEval (0-shot) - strict  | <b>42.33</b> | 35.49 | 
+| IfEval (0-shot) - loose   | 30.31 | <b>38.49</b> | 
+
+## Usage
+```Python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+compute_dtype = torch.bfloat16
+device   = 'cuda'
+model_id = "mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1"
+
+model     = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=compute_dtype, attn_implementation="sdpa", device_map=device)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+prompt  = "What is 1.5+102.2?"
+chat    = tokenizer.apply_chat_template([{"role":"user", "content":prompt}], tokenize=True, add_generation_prompt=True, return_tensors="pt")
+outputs = model.generate(chat.to(device), max_new_tokens=1024, do_sample=True) 
+print(tokenizer.decode(outputs[0]))
+```
+
+Output:
+```
+<｜begin▁of▁sentence｜><｜User｜>What is 1.5+102.2?<｜Assistant｜><think>
+First, I need to add the whole number parts of the two numbers. The whole numbers are 1 and 102, which add up to 103.
+
+Next, I add the decimal parts of the two numbers. The decimal parts are 0.5 and 0.2, which add up to 0.7.
+
+Finally, I combine the whole number and decimal parts to get the total sum. Adding 103 and 0.7 gives me 103.7.
+</think>
+
+To add the numbers \(1.5\) and \(102.2\), follow these steps:
+
+1. **Add the whole number parts:**
+   \[
+   1 + 102 = 103
+   \]
+
+2. **Add the decimal parts:**
+   \[
+   0.5 + 0.2 = 0.7
+   \]
+
+3. **Combine the results:**
+   \[
+   103 + 0.7 = 103.7
+   \]
+
+**Final Answer:**
+\[
+\boxed{103.7}
+\]<｜end▁of▁sentence｜>
+```
+
+## HQQ
+Run ~3.5x faster with <a href="https://github.com/mobiusml/hqq/">HQQ</a>. First, install the dependencies:
+```
+pip install hqq
+```
+
+```Python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from hqq.models.hf.base import AutoHQQHFModel
+from hqq.core.quantize import *
+
+#Params
+device        = 'cuda:0'
+backend       = "torchao_int4" 
+compute_dtype = torch.bfloat16 if backend=="torchao_int4" else torch.float16
+model_id      = "mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1"
+
+#Load
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model     = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=compute_dtype, attn_implementation="sdpa")
+
+#Quantize
+quant_config = BaseQuantizeConfig(nbits=4, group_size=64, axis=1)
+AutoHQQHFModel.quantize_model(model, quant_config=quant_config, compute_dtype=compute_dtype, device=device)
+
+#Optimize
+from hqq.utils.patching import prepare_for_inference
+prepare_for_inference(model, backend=backend, verbose=False)
+
+############################################################
+#Generate (streaming)
+from hqq.utils.generation_hf import HFGenerator
+gen = HFGenerator(model, tokenizer, max_new_tokens=4096, do_sample=True, compile='partial').warmup()
+
+prompt = "If A equals B, and C equals B - A, what would be the value of C?" 
+out    = gen.generate(prompt, print_tokens=True)
+
+############################################################
+# #Generate (simple)
+# from hqq.utils.generation_hf import patch_model_for_compiled_runtime
+# patch_model_for_compiled_runtime(model, tokenizer, warmup=True)
+
+# prompt = "If A equals B, and C equals B - A, what would be the value of C?" 
+# chat    = tokenizer.apply_chat_template([{"role":"user", "content":prompt}], tokenize=True, add_generation_prompt=True, return_tensors="pt")
+# outputs = model.generate(chat.to(device), max_new_tokens=8192, do_sample=True) 
+# print(tokenizer.decode(outputs[0]))
+```

config.json

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+{
+  "_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.1",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "do_sample": true,
+  "eos_token_id": 151643,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.48.1"
+}

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+    "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
+    "model.norm.weight": "model-00003-of-00004.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

tokenizer_config.json

@@ -0,0 +1,195 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151645": {
+      "content": "<｜Assistant｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151646": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151648": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151649": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "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 %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 16384,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}