初始化项目，由ModelHub XC社区提供模型
Model: ForSureTesterSim/QwenR1-7B-Breadcrumbs-TIES Source: Original Platform
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ModelHub XC
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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base_model:
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- POLARIS-Project/Polaris-7B-Preview
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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- nvidia/AceReason-Nemotron-7B
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merged-breadcrumbs
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [Model Breadcrumbs with TIES](https://arxiv.org/abs/2312.06795) merge method using [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [POLARIS-Project/Polaris-7B-Preview](https://huggingface.co/POLARIS-Project/Polaris-7B-Preview)
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* ./padded-maestro
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* [nvidia/AceReason-Nemotron-7B](https://huggingface.co/nvidia/AceReason-Nemotron-7B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: breadcrumbs_ties
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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parameters:
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density: 0.15 # Retain top 15% (Trims bottom 85% SFT noise)
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gamma: 0.99 # Trim the top 1% (Destroys extreme RL outliers)
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weight: 1.0
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models:
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- model: nvidia/AceReason-Nemotron-7B
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- model: ./padded-maestro
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- model: POLARIS-Project/Polaris-7B-Preview
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dtype: bfloat16
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```
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config.json
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config.json
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{
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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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"dtype": "bfloat16",
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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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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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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_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 10000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.12.1",
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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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generation_config.json
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{
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"_from_model_config": true,
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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": "4.39.3"
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}
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mergekit_config.yml
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mergekit_config.yml
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merge_method: breadcrumbs_ties
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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parameters:
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density: 0.15 # Retain top 15% (Trims bottom 85% SFT noise)
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gamma: 0.99 # Trim the top 1% (Destroys extreme RL outliers)
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weight: 1.0
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models:
|
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- model: nvidia/AceReason-Nemotron-7B
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- model: ./padded-maestro
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- model: POLARIS-Project/Polaris-7B-Preview
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dtype: bfloat16
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"model.layers.6.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
303282
tokenizer.json
Normal file
303282
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
35
tokenizer_config.json
Normal file
35
tokenizer_config.json
Normal file
@@ -0,0 +1,35 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"legacy": true,
|
||||
"model_max_length": 16384,
|
||||
"pad_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"sp_model_kwargs": {},
|
||||
"unk_token": null,
|
||||
"tokenizer_class": "LlamaTokenizerFast",
|
||||
"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｜><think>\\n'}}{% endif %}"
|
||||
}
|
||||
Reference in New Issue
Block a user