初始化项目，由ModelHub XC社区提供模型
Model: huihui-ai/Huihui-MiniCPM5-1B-abliterated Source: Original Platform
This commit is contained in:
ModelHub XC
35
.gitattributes
vendored
Normal file
35
.gitattributes
vendored
Normal file
@@ -0,0 +1,35 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
81
README.md
Normal file
81
README.md
Normal file
@@ -0,0 +1,81 @@
|
||||
---
|
||||
license: apache-2.0
|
||||
language:
|
||||
- en
|
||||
- zh
|
||||
library_name: transformers
|
||||
pipeline_tag: text-generation
|
||||
tags:
|
||||
- minicpm
|
||||
- minicpm5
|
||||
- llama
|
||||
- text-generation
|
||||
- long-context
|
||||
- tool-calling
|
||||
- on-device
|
||||
- edge-ai
|
||||
- abliterated
|
||||
- uncensored
|
||||
base_model:
|
||||
- openbmb/MiniCPM5-1B
|
||||
---
|
||||
|
||||
# huihui-ai/Huihui-MiniCPM5-1B-abliterated
|
||||
|
||||
|
||||
This is an uncensored version of [openbmb/MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
|
||||
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
|
||||
|
||||
## Usage
|
||||
You can use this model in your applications by loading it with Hugging Face's `transformers` library:
|
||||
|
||||
```bash
|
||||
pip install -U "transformers>=5.6" accelerate torch
|
||||
```
|
||||
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
model_id = "huihui-ai/Huihui-MiniCPM5-1B-abliterated"
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
model_id,
|
||||
torch_dtype="auto",
|
||||
device_map="auto",
|
||||
)
|
||||
messages = [{"role": "user", "content": "Who are you? Please briefly introduce yourself."}]
|
||||
inputs = tokenizer.apply_chat_template(
|
||||
messages,
|
||||
tokenize=True,
|
||||
add_generation_prompt=True,
|
||||
enable_thinking=False,
|
||||
return_dict=True,
|
||||
return_tensors="pt",
|
||||
).to(model.device)
|
||||
outputs = model.generate(**inputs, max_new_tokens=128)
|
||||
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))
|
||||
```
|
||||
|
||||
### Usage Warnings
|
||||
|
||||
|
||||
- **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
|
||||
|
||||
- **Not Suitable for All Audiences**: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.
|
||||
|
||||
- **Legal and Ethical Responsibilities**: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.
|
||||
|
||||
- **Research and Experimental Use**: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.
|
||||
|
||||
- **Monitoring and Review Recommendations**: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.
|
||||
|
||||
- **No Default Safety Guarantees**: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.
|
||||
|
||||
|
||||
### Donation
|
||||
##### Your donation helps us continue our further development and improvement, a cup of coffee can do it.
|
||||
- bitcoin:
|
||||
```
|
||||
bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
|
||||
```
|
||||
- Support our work on [Ko-fi](https://ko-fi.com/huihuiai)!
|
||||
|
||||
179
chat_template.jinja
Normal file
179
chat_template.jinja
Normal file
@@ -0,0 +1,179 @@
|
||||
{{- bos_token }}{%- if tools %}
|
||||
{%- set tool_definitions %}
|
||||
{{- "# Tools\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson(ensure_ascii=False) }}
|
||||
{%- endfor %}
|
||||
{{- '\n</tools>\n\nTool usage guidelines:\n- You may call zero or more functions. If no function calls are needed, just answer normally and do not include any <function ... </function>.\n- When calling a function, return an XML object within <function ... </function> using:\n<function name="function-name"><param name="param-name">param-value</param></function>\n- param-value may be multi-line. If it contains <, & or newline characters, wrap it in a CDATA block: <param name="param-name"><![CDATA[...multi-line value...]]></param>' }}
|
||||
{%- endset %}
|
||||
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{%- if '<tool_def_sep>' in messages[0].content %}
|
||||
{{- messages[0].content.replace('<tool_def_sep>', tool_definitions) }}
|
||||
{%- else %}
|
||||
{{- messages[0].content + '\n\n' + tool_definitions }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- tool_definitions.lstrip() }}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{%- if messages[0].role == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
||||
{%- for message in messages[::-1] %}
|
||||
{%- set index = (messages|length - 1) - loop.index0 %}
|
||||
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
||||
{%- set ns.multi_step_tool = false %}
|
||||
{%- set ns.last_query_index = index %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- for message in messages %}
|
||||
{%- if message.content is string %}
|
||||
{%- set content = message.content %}
|
||||
{%- else %}
|
||||
{%- set content = '' %}
|
||||
{%- endif %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{%- set reasoning_content = '' %}
|
||||
{%- if message.reasoning_content is string %}
|
||||
{%- set reasoning_content = message.reasoning_content %}
|
||||
{%- else %}
|
||||
{%- if '</think>' in content %}
|
||||
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
||||
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
|
||||
{%- if message.tool_calls %}
|
||||
{%- set content_parts = content.split('<tool_sep>') %}
|
||||
{%- set processed_content = content_parts[0] %}
|
||||
{%- set tool_calls_count = message.tool_calls|length %}
|
||||
{%- set tool_sep_count = content_parts|length - 1 %}
|
||||
{%- set min_count = [tool_calls_count, tool_sep_count]|min %}
|
||||
|
||||
{%- for i in range(1, content_parts|length) %}
|
||||
{%- set tool_index = i - 1 %}
|
||||
{%- if tool_index < tool_calls_count %}
|
||||
{%- set tool_call = message.tool_calls[tool_index] %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{%- set single_tool_xml %}
|
||||
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
||||
{%- if tool_call.arguments %}
|
||||
{%- set args_dict = tool_call.arguments %}
|
||||
{%- for param_name, param_value in args_dict.items() %}
|
||||
{{- '<param name="' ~ param_name ~ '">' }}
|
||||
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
||||
{{- '<![CDATA[' + param_value + ']]>' }}
|
||||
{%- else %}
|
||||
{{- param_value }}
|
||||
{%- endif %}
|
||||
{{- '</param>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '</function>' }}
|
||||
{%- endset %}
|
||||
{%- set processed_content = processed_content + single_tool_xml + content_parts[i] %}
|
||||
{%- else %}
|
||||
{%- set processed_content = processed_content + content_parts[i] %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
|
||||
{%- if tool_calls_count > tool_sep_count %}
|
||||
{%- for remaining_index in range(tool_sep_count, tool_calls_count) %}
|
||||
{%- set tool_call = message.tool_calls[remaining_index] %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{%- set remaining_tool_xml %}
|
||||
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
||||
{%- if tool_call.arguments %}
|
||||
{%- set args_dict = tool_call.arguments %}
|
||||
{%- for param_name, param_value in args_dict.items() %}
|
||||
{{- '<param name="' ~ param_name ~ '">' }}
|
||||
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
||||
{{- '<![CDATA[' + param_value + ']]>' }}
|
||||
{%- else %}
|
||||
{{- param_value }}
|
||||
{%- endif %}
|
||||
{{- '</param>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '</function>' }}
|
||||
{%- endset %}
|
||||
{%- set processed_content = processed_content + remaining_tool_xml %}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
|
||||
{%- set content = processed_content %}
|
||||
{%- endif %}
|
||||
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
||||
{%- if reasoning_content %}
|
||||
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
|
||||
{%- if message.tool_calls and not has_tool_sep %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
||||
{%- if tool_call.arguments %}
|
||||
{%- set args_dict = tool_call.arguments %}
|
||||
{%- for param_name, param_value in args_dict.items() %}
|
||||
{{- '<param name="' ~ param_name ~ '">' }}
|
||||
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
||||
{{- '<![CDATA[' + param_value + ']]>' }}
|
||||
{%- else %}
|
||||
{{- param_value }}
|
||||
{%- endif %}
|
||||
{{- '</param>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '</function>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{%- if message.content is string %}
|
||||
{{- content }}
|
||||
{%- else %}
|
||||
{{- message.content | tojson(ensure_ascii=False) }}
|
||||
{%- endif %}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- if enable_thinking is defined %}
|
||||
{%- if enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- elif enable_thinking is true %}
|
||||
{{- '<think>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
30
config.json
Normal file
30
config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"_name_or_path": "openbmb/MiniCPM5-1B",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"bos_token_id": 0,
|
||||
"eos_token_id": [
|
||||
1,
|
||||
130073
|
||||
],
|
||||
"pad_token_id": 1,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1536,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 4608,
|
||||
"max_position_embeddings": 131072,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 24,
|
||||
"num_key_value_heads": 2,
|
||||
"head_dim": 128,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_theta": 5000000,
|
||||
"rope_scaling": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "5.6.2",
|
||||
"use_cache": true,
|
||||
"vocab_size": 130560
|
||||
}
|
||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 0,
|
||||
"eos_token_id": [
|
||||
1,
|
||||
130073
|
||||
],
|
||||
"pad_token_id": 1,
|
||||
"do_sample": true,
|
||||
"temperature": 0.9,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.6.2"
|
||||
}
|
||||
3
model-00000-of-00001.safetensors
Normal file
3
model-00000-of-00001.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b4771c18947c8ce8da13ef2c698361b059af4fddd6c925dbbc0114b4d006e875
|
||||
size 2161290912
|
||||
226
model.safetensors.index.json
Normal file
226
model.safetensors.index.json
Normal file
@@ -0,0 +1,226 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 2161265664
|
||||
},
|
||||
"weight_map": {
|
||||
"model.embed_tokens.weight": "model-00000-of-00001.safetensors",
|
||||
"lm_head.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00000-of-00001.safetensors",
|
||||
"model.norm.weight": "model-00000-of-00001.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
653947
tokenizer.json
Normal file
653947
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
4099
tokenizer_config.json
Normal file
4099
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user