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Model: okwinds/Rombos-LLM-V2.6-Qwen-14b Source: Original Platform
2026-09-17 02:06:24 +08:00
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--- a/HF-Leadboard-10-20B-2024-10-29.png
+++ b/HF-Leadboard-10-20B-2024-10-29.png
--- a/HF-Leadboard-10-32B-2024-10-29.png
+++ b/HF-Leadboard-10-32B-2024-10-29.png
--- a/HF-Leadboard-Total-2024-10-29.png
+++ b/HF-Leadboard-Total-2024-10-29.png
--- a/README.md
+++ b/README.md
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+---
+frameworks:
+- Pytorch
+license: Apache License 2.0
+base_model:
+- Qwen/Qwen2.5-14B-Instruct
+tasks:
+- text-generation
+language:
+- en
+- cn
+tags:
+- Chat
+- Instruct
+- fine-tuned
+---
+
+# Rombos-LLM-V2.6-Qwen-14b High-performance finetuned
+
+- ***同系合集 [Rombos-LLM-Qwen2.5](https://www.modelscope.cn/collections/Rombos-LLM-Qwen25-4dc8690ad7f541)***
+
+## Download
+
+SDK下载
+```bash
+#安装ModelScope
+pip install modelscope
+```
+```python
+#SDK模型下载
+from modelscope import snapshot_download
+model_dir = snapshot_download('okwinds/Rombos-LLM-V2.6-Qwen-14b')
+```
+Git下载
+```
+#Git模型下载
+git clone https://www.modelscope.cn/okwinds/Rombos-LLM-V2.6-Qwen-14b.git
+```
+
+# 模型简介
+
+本模型转载于 huggingface 上的 [rombodawg/Rombos-LLM-V2.6-Qwen-14b](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b)
+
+作者介绍到：本模型是一个基于 [Qwen/Qwen2.5-14B](https://www.modelscope.cn/models/Qwen/Qwen2.5-14B) 的 Continuous Fine-tuning 版本，并通过 [TIES-Merging](https://ar5iv.labs.arxiv.org/html/2306.01708) 方法将合并了adapter的 [Qwen/Qwen2.5-14B-Instruct](https://www.modelscope.cn/models/qwen/qwen2.5-14b-instruct) 与 [Qwen/Qwen2.5-14B](https://www.modelscope.cn/models/Qwen/Qwen2.5-14B) 进行了 TIES Merge。这使得本模型的性能优于原始的 base 模型以及 pretrain 后 fine-tune 的 Instruct 模型。
+
+Model tree for [okwinds/Rombos-LLM-V2.6-Qwen-14b](https://www.modelscope.cn/models/okwinds/Rombos-LLM-V2.6-Qwen-14b) </br>
+	&nbsp;Base model - [Qwen/Qwen2.5-14B](https://www.modelscope.cn/models/Qwen/Qwen2.5-14B) </br>
+		&nbsp; <span style="font-weight: bold;">╰</span>─  Finetuned - [Qwen/Qwen2.5-14B-Instruct](https://www.modelscope.cn/models/Qwen/Qwen2.5-14B-Instruct) </br>
+		&nbsp; &nbsp; &nbsp; &nbsp; <span style="font-weight: bold;">╰</span>─  Finetuned - [本模型 okwinds/Rombos-LLM-V2.6-Qwen-14b](https://www.modelscope.cn/models/okwinds/Rombos-LLM-V2.6-Qwen-14b) </br>
+
+# Benchmark
+
+以下摘自 2024-10-29 的 Huggingface 上 [Leadboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) 排名数据
+
+本模型以 14B 参数量在总榜排名第49。截图：
+
+<img src="https://www.modelscope.cn/models/okwinds/Rombos-LLM-V2.6-Qwen-14b/resolve/master/HF-Leadboard-Total-2024-10-29.png" />
+
+在 10-32B 参数量模型中排名第7。截图：
+
+<img src="https://www.modelscope.cn/models/okwinds/Rombos-LLM-V2.6-Qwen-14b/resolve/master/HF-Leadboard-10-32B-2024-10-29.png" />
+
+在 10-20B 参数量模型中排名第1。
+
+<img src="https://www.modelscope.cn/models/okwinds/Rombos-LLM-V2.6-Qwen-14b/resolve/master/HF-Leadboard-10-20B-2024-10-29.png" />
+
+截图中的数据：
+
+| **Model** |**Average️**|**IFEval**|**BBH**|**MATH Lvl 5**|**GPQA**|**MUSR**|**MMLU-PRO**|
+|-|-|-|-|-|-|-|-|
+|<span style="color:#ff6600">rombodawg/Rombos-LLM-V2.6-Qwen-14b</span>|35.89|52.14|49.22|28.85|17|19.26|48.85|
+|rombodawg/Rombos-LLM-V2.5-Qwen-14b|34.52|58.4|49.39|15.63|16.22|18.83|48.62|
+|Tsunami-th/Tsunami-1.0-14B-Instruct |34.2|78.29|49.15|0|14.21|16.34|47.21|
+|tanliboy/lambda-qwen2.5-14b-dpo-test |33.52|82.31|48.45|0|14.99|12.59|42.75|
+|jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 |33.3|68.52|49.85|17.98|10.07|12.35|41.07|
+|TheTsar1209/qwen-carpmuscle-v0.2 |33.11|52.57|48.18|25|14.09|12.75|46.08|
+|microsoft/Phi-3-medium-4k-instruct |32.67|64.23|49.38|16.99|11.52|13.05|40.84|
+|TheTsar1209/qwen-carpmuscle-v0.1 |32.59|56.22|48.83|21.15|12.53|10.15|46.67|
+|v000000/Qwen2.5-Lumen-14B |32.2|80.64|48.51|0|10.4|10.29|43.36|
+|Qwen/Qwen2.5-14B-Instruct |32.18|81.58|48.36|0|9.62|10.16|43.38|
+|v000000/Qwen2.5-14B-Gutenberg-1e-Delta |32.11|80.45|48.62|0|10.51|9.38|43.67|
+|internlm/internlm2_5-20b-chat |32.08|70.1|62.83|0|9.51|16.74|33.31|
--- a/config.json
+++ b/config.json
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+{
+  "_name_or_path": "Rombos-LLM-V2.6-Qwen-14b",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
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+  "eos_token_id": 151643,
+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 131072,
+  "max_window_layers": 48,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.3",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}
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+{"framework":"Pytorch","task":"text-generation"}
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+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
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+}
--- a/vocab.json
+++ b/vocab.json
				`@@ -0,0 +1 @@`
				`{"framework":"Pytorch","task":"text-generation"}`