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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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---
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license: mit
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train: false
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inference: true
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pipeline_tag: text-generation
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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---
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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.
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## Performance
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| 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> |
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|:-------------------:|:--------:|:----------------:|
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| ARC (25-shot) | <b>55.03</b> | 52.3 |
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| HellaSwag (10-shot)| 61.9 | <b>62.36</b> |
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| MMLU (5-shot) | 56.75 | <b>59.53</b> |
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| TruthfulQA-MC2 | 45.76 | <b>47.7</b> |
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| Winogrande (5-shot)| 60.38 | <b>61.8</b> |
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| GSM8K (5-shot) | 78.85 | <b>83.4</b> |
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| Average | 59.78 | <b>61.18</b> |
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| 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> |
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|:-------------------:|:--------:|:----------------:|
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| GPQA (0-shot) | 30.9 | <b>34.99</b> |
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| MMLU PRO (5-shot) | 28.83 | <b>31.02</b> |
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| MUSR (0-shot) | 38.85 | <b>44.42</b> |
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| BBH (3-shot) | 43.54 | <b>51.53</b> |
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| IfEval (0-shot) - strict | <b>42.33</b> | 35.49 |
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| IfEval (0-shot) - loose | 30.31 | <b>38.49</b> |
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## Usage
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```Python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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compute_dtype = torch.bfloat16
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device = 'cuda'
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model_id = "mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1"
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=compute_dtype, attn_implementation="sdpa", device_map=device)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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prompt = "What is 1.5+102.2?"
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chat = tokenizer.apply_chat_template([{"role":"user", "content":prompt}], tokenize=True, add_generation_prompt=True, return_tensors="pt")
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outputs = model.generate(chat.to(device), max_new_tokens=1024, do_sample=True)
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print(tokenizer.decode(outputs[0]))
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```
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Output:
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```
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<｜begin▁of▁sentence｜><｜User｜>What is 1.5+102.2?<｜Assistant｜><think>
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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.
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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.
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Finally, I combine the whole number and decimal parts to get the total sum. Adding 103 and 0.7 gives me 103.7.
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</think>
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To add the numbers \(1.5\) and \(102.2\), follow these steps:
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1. **Add the whole number parts:**
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\[
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1 + 102 = 103
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\]
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2. **Add the decimal parts:**
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\[
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0.5 + 0.2 = 0.7
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\]
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3. **Combine the results:**
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\[
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103 + 0.7 = 103.7
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\]
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**Final Answer:**
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\[
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\boxed{103.7}
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\]<｜end▁of▁sentence｜>
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```
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## HQQ
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Run ~3.5x faster with <a href="https://github.com/mobiusml/hqq/">HQQ</a>. First, install the dependencies:
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```
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pip install hqq
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```
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```Python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from hqq.models.hf.base import AutoHQQHFModel
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from hqq.core.quantize import *
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#Params
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device = 'cuda:0'
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backend = "torchao_int4"
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compute_dtype = torch.bfloat16 if backend=="torchao_int4" else torch.float16
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model_id = "mobiuslabsgmbh/DeepSeek-R1-ReDistill-Qwen-7B-v1.1"
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#Load
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=compute_dtype, attn_implementation="sdpa")
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#Quantize
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quant_config = BaseQuantizeConfig(nbits=4, group_size=64, axis=1)
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AutoHQQHFModel.quantize_model(model, quant_config=quant_config, compute_dtype=compute_dtype, device=device)
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#Optimize
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from hqq.utils.patching import prepare_for_inference
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prepare_for_inference(model, backend=backend, verbose=False)
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############################################################
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#Generate (streaming)
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from hqq.utils.generation_hf import HFGenerator
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gen = HFGenerator(model, tokenizer, max_new_tokens=4096, do_sample=True, compile='partial').warmup()
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prompt = "If A equals B, and C equals B - A, what would be the value of C?"
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out = gen.generate(prompt, print_tokens=True)
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############################################################
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# #Generate (simple)
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# from hqq.utils.generation_hf import patch_model_for_compiled_runtime
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# patch_model_for_compiled_runtime(model, tokenizer, warmup=True)
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# prompt = "If A equals B, and C equals B - A, what would be the value of C?"
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# chat = tokenizer.apply_chat_template([{"role":"user", "content":prompt}], tokenize=True, add_generation_prompt=True, return_tensors="pt")
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# outputs = model.generate(chat.to(device), max_new_tokens=8192, do_sample=True)
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# print(tokenizer.decode(outputs[0]))
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```
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config.json
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"_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
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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": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.1",
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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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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"transformers_version": "4.48.1"
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}
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
"model.norm.weight": "model-00003-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -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
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
|
||||
size 11422778
|
||||
195
tokenizer_config.json
Normal file
195
tokenizer_config.json
Normal file
@@ -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
|
||||
}
|
||||
Reference in New Issue
Block a user