Text Generation
Transformers
Safetensors
English
mixtral
cot
code
generalist
Mixture of Experts
base
conversational
text-generation-inference
Instructions to use Pinkstack/Fijik1.5-2.6b-a380m-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pinkstack/Fijik1.5-2.6b-a380m-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Pinkstack/Fijik1.5-2.6b-a380m-base") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Pinkstack/Fijik1.5-2.6b-a380m-base") model = AutoModelForCausalLM.from_pretrained("Pinkstack/Fijik1.5-2.6b-a380m-base", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Pinkstack/Fijik1.5-2.6b-a380m-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Pinkstack/Fijik1.5-2.6b-a380m-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pinkstack/Fijik1.5-2.6b-a380m-base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Pinkstack/Fijik1.5-2.6b-a380m-base
- SGLang
How to use Pinkstack/Fijik1.5-2.6b-a380m-base with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Pinkstack/Fijik1.5-2.6b-a380m-base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pinkstack/Fijik1.5-2.6b-a380m-base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Pinkstack/Fijik1.5-2.6b-a380m-base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Pinkstack/Fijik1.5-2.6b-a380m-base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Pinkstack/Fijik1.5-2.6b-a380m-base with Docker Model Runner:
docker model run hf.co/Pinkstack/Fijik1.5-2.6b-a380m-base
Training in progress, step 100
Browse files- README.md +59 -0
- added_tokens.json +16 -0
- chat_template.jinja +61 -0
- config.json +42 -0
- generation_config.json +11 -0
- merges.txt +0 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +44 -0
- tokenizer.json +0 -0
- tokenizer_config.json +281 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
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@@ -0,0 +1,59 @@
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| 1 |
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---
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base_model: Pinkstack/thenew-oe
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library_name: transformers
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model_name: '12347'
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tags:
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- generated_from_trainer
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- trl
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- sft
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- unsloth
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licence: license
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---
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# Model Card for 12347
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This model is a fine-tuned version of [Pinkstack/thenew-oe](https://huggingface.co/Pinkstack/thenew-oe).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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| 17 |
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## Quick start
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```python
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| 21 |
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from transformers import pipeline
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| 22 |
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| 23 |
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="Pinkstack/12347", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.25.1
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| 39 |
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- Transformers: 4.57.2
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- Pytorch: 2.9.0+cu126
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- Datasets: 4.0.0
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| 42 |
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- Tokenizers: 0.22.1
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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| 54 |
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year = 2020,
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| 55 |
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journal = {GitHub repository},
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| 56 |
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publisher = {GitHub},
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| 57 |
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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added_tokens.json
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{
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"</code>": 49165,
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"</function>": 49163,
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"</schema>": 49161,
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"</think>": 49153,
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"</tool_call>": 49159,
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"</tool_response>": 49155,
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"</tools>": 49157,
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"<code>": 49164,
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"<function>": 49162,
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"<schema>": 49160,
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"<think>": 49152,
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"<tool_call>": 49158,
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"<tool_response>": 49154,
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| 15 |
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"<tools>": 49156
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| 16 |
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}
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chat_template.jinja
ADDED
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{%- if tools %}
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| 2 |
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{{- '<|im_start|>system\n' }}
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| 3 |
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{%- if messages[0].role == 'system' %}
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| 4 |
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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| 6 |
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{{- "# 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>" }}
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| 7 |
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{%- for tool in tools %}
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| 8 |
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{{- "\n" }}
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| 9 |
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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| 15 |
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{%- endif %}
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| 16 |
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{%- endif %}
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| 17 |
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{%- for message in messages %}
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| 18 |
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{%- if message.content is string %}
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| 19 |
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{%- set content = message.content %}
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| 20 |
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{%- else %}
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| 21 |
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{%- set content = '' %}
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| 22 |
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{%- endif %}
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| 23 |
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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| 24 |
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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| 25 |
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{%- elif message.role == "assistant" %}
|
| 26 |
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{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 27 |
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{%- if message.tool_calls %}
|
| 28 |
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{%- for tool_call in message.tool_calls %}
|
| 29 |
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{%- if (loop.first and content) or (not loop.first) %}
|
| 30 |
+
{{- '\n' }}
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| 31 |
+
{%- endif %}
|
| 32 |
+
{%- if tool_call.function %}
|
| 33 |
+
{%- set tool_call = tool_call.function %}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 36 |
+
{{- tool_call.name }}
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| 37 |
+
{{- '", "arguments": ' }}
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| 38 |
+
{%- if tool_call.arguments is string %}
|
| 39 |
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{{- tool_call.arguments }}
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| 40 |
+
{%- else %}
|
| 41 |
+
{{- tool_call.arguments | tojson }}
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| 42 |
+
{%- endif %}
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| 43 |
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{{- '}\n</tool_call>' }}
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| 44 |
+
{%- endfor %}
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| 45 |
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{%- endif %}
|
| 46 |
+
{{- '<|im_end|>\n' }}
|
| 47 |
+
{%- elif message.role == "tool" %}
|
| 48 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 49 |
+
{{- '<|im_start|>user' }}
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| 50 |
+
{%- endif %}
|
| 51 |
+
{{- '\n<tool_response>\n' }}
|
| 52 |
+
{{- content }}
|
| 53 |
+
{{- '\n</tool_response>' }}
|
| 54 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 55 |
+
{{- '<|im_end|>\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{%- endfor %}
|
| 59 |
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{%- if add_generation_prompt %}
|
| 60 |
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{{- '<|im_start|>assistant\n' }}
|
| 61 |
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{%- endif %}
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config.json
ADDED
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{
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| 2 |
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"architectures": [
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| 3 |
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"MixtralForCausalLM"
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| 4 |
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],
|
| 5 |
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"attention_bias": false,
|
| 6 |
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"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
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"dtype": "bfloat16",
|
| 9 |
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"eos_token_id": 2,
|
| 10 |
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"head_dim": 64,
|
| 11 |
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"hidden_act": "silu",
|
| 12 |
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"hidden_size": 576,
|
| 13 |
+
"initializer_range": 0.041666666666666664,
|
| 14 |
+
"intermediate_size": 1536,
|
| 15 |
+
"is_llama_config": true,
|
| 16 |
+
"max_position_embeddings": 32768,
|
| 17 |
+
"mlp_bias": false,
|
| 18 |
+
"model_type": "mixtral",
|
| 19 |
+
"num_attention_heads": 9,
|
| 20 |
+
"num_experts_per_tok": 4,
|
| 21 |
+
"num_hidden_layers": 30,
|
| 22 |
+
"num_key_value_heads": 3,
|
| 23 |
+
"num_local_experts": 32,
|
| 24 |
+
"output_router_logits": false,
|
| 25 |
+
"pad_token_id": 0,
|
| 26 |
+
"pretraining_tp": 1,
|
| 27 |
+
"rms_norm_eps": 1e-05,
|
| 28 |
+
"rope_interleaved": false,
|
| 29 |
+
"rope_scaling": {
|
| 30 |
+
"factor": 4.0,
|
| 31 |
+
"type": "linear"
|
| 32 |
+
},
|
| 33 |
+
"rope_theta": 500000,
|
| 34 |
+
"router_aux_loss_coef": 0.001,
|
| 35 |
+
"router_jitter_noise": 0.0,
|
| 36 |
+
"sliding_window": null,
|
| 37 |
+
"tie_word_embeddings": true,
|
| 38 |
+
"transformers_version": "4.57.2",
|
| 39 |
+
"unsloth_version": "2025.11.6",
|
| 40 |
+
"use_cache": true,
|
| 41 |
+
"vocab_size": 49166
|
| 42 |
+
}
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generation_config.json
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| 1 |
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{
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| 2 |
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"_from_model_config": true,
|
| 3 |
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"bos_token_id": 0,
|
| 4 |
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"eos_token_id": [
|
| 5 |
+
2,
|
| 6 |
+
0
|
| 7 |
+
],
|
| 8 |
+
"max_length": 32768,
|
| 9 |
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"pad_token_id": 0,
|
| 10 |
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"transformers_version": "4.57.2"
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| 11 |
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}
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merges.txt
ADDED
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model-00002-of-00002.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:99718bdb4d686d4750d23ef7d8b2720dfe6f6ae32ef532c63796a171b825b12e
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| 3 |
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size 207086808
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
|
| 2 |
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"additional_special_tokens": [
|
| 3 |
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"<tool_response>",
|
| 4 |
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"</tool_response>",
|
| 5 |
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"<tools>",
|
| 6 |
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"</tools>",
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| 7 |
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"<tool_call>",
|
| 8 |
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"</tool_call>",
|
| 9 |
+
"<schema>",
|
| 10 |
+
"</schema>",
|
| 11 |
+
"<function>",
|
| 12 |
+
"</function>",
|
| 13 |
+
"<code>",
|
| 14 |
+
"</code>"
|
| 15 |
+
],
|
| 16 |
+
"bos_token": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"eos_token": {
|
| 24 |
+
"content": "<|im_end|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<|endoftext|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"unk_token": {
|
| 38 |
+
"content": "<|endoftext|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
}
|
| 44 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,281 @@
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<repo_name>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<reponame>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"5": {
|
| 45 |
+
"content": "<file_sep>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"6": {
|
| 53 |
+
"content": "<filename>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"7": {
|
| 61 |
+
"content": "<gh_stars>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<issue_start>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"9": {
|
| 77 |
+
"content": "<issue_comment>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<issue_closed>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<jupyter_start>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<jupyter_text>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"13": {
|
| 109 |
+
"content": "<jupyter_code>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
},
|
| 116 |
+
"14": {
|
| 117 |
+
"content": "<jupyter_output>",
|
| 118 |
+
"lstrip": false,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"rstrip": false,
|
| 121 |
+
"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
+
},
|
| 124 |
+
"15": {
|
| 125 |
+
"content": "<jupyter_script>",
|
| 126 |
+
"lstrip": false,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"rstrip": false,
|
| 129 |
+
"single_word": false,
|
| 130 |
+
"special": true
|
| 131 |
+
},
|
| 132 |
+
"16": {
|
| 133 |
+
"content": "<empty_output>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
},
|
| 140 |
+
"49152": {
|
| 141 |
+
"content": "<think>",
|
| 142 |
+
"lstrip": false,
|
| 143 |
+
"normalized": false,
|
| 144 |
+
"rstrip": false,
|
| 145 |
+
"single_word": false,
|
| 146 |
+
"special": true
|
| 147 |
+
},
|
| 148 |
+
"49153": {
|
| 149 |
+
"content": "</think>",
|
| 150 |
+
"lstrip": false,
|
| 151 |
+
"normalized": false,
|
| 152 |
+
"rstrip": false,
|
| 153 |
+
"single_word": false,
|
| 154 |
+
"special": true
|
| 155 |
+
},
|
| 156 |
+
"49154": {
|
| 157 |
+
"content": "<tool_response>",
|
| 158 |
+
"lstrip": false,
|
| 159 |
+
"normalized": false,
|
| 160 |
+
"rstrip": false,
|
| 161 |
+
"single_word": false,
|
| 162 |
+
"special": true
|
| 163 |
+
},
|
| 164 |
+
"49155": {
|
| 165 |
+
"content": "</tool_response>",
|
| 166 |
+
"lstrip": false,
|
| 167 |
+
"normalized": false,
|
| 168 |
+
"rstrip": false,
|
| 169 |
+
"single_word": false,
|
| 170 |
+
"special": true
|
| 171 |
+
},
|
| 172 |
+
"49156": {
|
| 173 |
+
"content": "<tools>",
|
| 174 |
+
"lstrip": false,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"rstrip": false,
|
| 177 |
+
"single_word": false,
|
| 178 |
+
"special": true
|
| 179 |
+
},
|
| 180 |
+
"49157": {
|
| 181 |
+
"content": "</tools>",
|
| 182 |
+
"lstrip": false,
|
| 183 |
+
"normalized": false,
|
| 184 |
+
"rstrip": false,
|
| 185 |
+
"single_word": false,
|
| 186 |
+
"special": true
|
| 187 |
+
},
|
| 188 |
+
"49158": {
|
| 189 |
+
"content": "<tool_call>",
|
| 190 |
+
"lstrip": false,
|
| 191 |
+
"normalized": false,
|
| 192 |
+
"rstrip": false,
|
| 193 |
+
"single_word": false,
|
| 194 |
+
"special": true
|
| 195 |
+
},
|
| 196 |
+
"49159": {
|
| 197 |
+
"content": "</tool_call>",
|
| 198 |
+
"lstrip": false,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"rstrip": false,
|
| 201 |
+
"single_word": false,
|
| 202 |
+
"special": true
|
| 203 |
+
},
|
| 204 |
+
"49160": {
|
| 205 |
+
"content": "<schema>",
|
| 206 |
+
"lstrip": false,
|
| 207 |
+
"normalized": false,
|
| 208 |
+
"rstrip": false,
|
| 209 |
+
"single_word": false,
|
| 210 |
+
"special": true
|
| 211 |
+
},
|
| 212 |
+
"49161": {
|
| 213 |
+
"content": "</schema>",
|
| 214 |
+
"lstrip": false,
|
| 215 |
+
"normalized": false,
|
| 216 |
+
"rstrip": false,
|
| 217 |
+
"single_word": false,
|
| 218 |
+
"special": true
|
| 219 |
+
},
|
| 220 |
+
"49162": {
|
| 221 |
+
"content": "<function>",
|
| 222 |
+
"lstrip": false,
|
| 223 |
+
"normalized": false,
|
| 224 |
+
"rstrip": false,
|
| 225 |
+
"single_word": false,
|
| 226 |
+
"special": true
|
| 227 |
+
},
|
| 228 |
+
"49163": {
|
| 229 |
+
"content": "</function>",
|
| 230 |
+
"lstrip": false,
|
| 231 |
+
"normalized": false,
|
| 232 |
+
"rstrip": false,
|
| 233 |
+
"single_word": false,
|
| 234 |
+
"special": true
|
| 235 |
+
},
|
| 236 |
+
"49164": {
|
| 237 |
+
"content": "<code>",
|
| 238 |
+
"lstrip": false,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"rstrip": false,
|
| 241 |
+
"single_word": false,
|
| 242 |
+
"special": true
|
| 243 |
+
},
|
| 244 |
+
"49165": {
|
| 245 |
+
"content": "</code>",
|
| 246 |
+
"lstrip": false,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"rstrip": false,
|
| 249 |
+
"single_word": false,
|
| 250 |
+
"special": true
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"additional_special_tokens": [
|
| 254 |
+
"<tool_response>",
|
| 255 |
+
"</tool_response>",
|
| 256 |
+
"<tools>",
|
| 257 |
+
"</tools>",
|
| 258 |
+
"<tool_call>",
|
| 259 |
+
"</tool_call>",
|
| 260 |
+
"<schema>",
|
| 261 |
+
"</schema>",
|
| 262 |
+
"<function>",
|
| 263 |
+
"</function>",
|
| 264 |
+
"<code>",
|
| 265 |
+
"</code>"
|
| 266 |
+
],
|
| 267 |
+
"bos_token": "<|endoftext|>",
|
| 268 |
+
"clean_up_tokenization_spaces": false,
|
| 269 |
+
"eos_token": "<|im_end|>",
|
| 270 |
+
"extra_special_tokens": {},
|
| 271 |
+
"max_length": 32768,
|
| 272 |
+
"model_max_length": 32768,
|
| 273 |
+
"pad_token": "<|endoftext|>",
|
| 274 |
+
"padding_side": "right",
|
| 275 |
+
"stride": 0,
|
| 276 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 277 |
+
"truncation_side": "right",
|
| 278 |
+
"truncation_strategy": "longest_first",
|
| 279 |
+
"unk_token": "<|endoftext|>",
|
| 280 |
+
"vocab_size": 49152
|
| 281 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3fe02e833ff8a29eac12d5f47246e2139977c8b541c6ced92393b70f53f1f94c
|
| 3 |
+
size 6417
|
vocab.json
ADDED
|
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|
|