Text Generation
PEFT
PyTorch
Safetensors
Transformers
nemotron_h
lora
sft
trl
unsloth
conversational
custom_code
Instructions to use technicalheist/nixagent-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use technicalheist/nixagent-1.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/NVIDIA-Nemotron-3-Nano-4B") model = PeftModel.from_pretrained(base_model, "technicalheist/nixagent-1.0") - Transformers
How to use technicalheist/nixagent-1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="technicalheist/nixagent-1.0", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("technicalheist/nixagent-1.0", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("technicalheist/nixagent-1.0", trust_remote_code=True) 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 technicalheist/nixagent-1.0 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "technicalheist/nixagent-1.0" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "technicalheist/nixagent-1.0", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/technicalheist/nixagent-1.0
- SGLang
How to use technicalheist/nixagent-1.0 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 "technicalheist/nixagent-1.0" \ --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": "technicalheist/nixagent-1.0", "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 "technicalheist/nixagent-1.0" \ --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": "technicalheist/nixagent-1.0", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use technicalheist/nixagent-1.0 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for technicalheist/nixagent-1.0 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for technicalheist/nixagent-1.0 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for technicalheist/nixagent-1.0 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="technicalheist/nixagent-1.0", max_seq_length=2048, ) - Docker Model Runner
How to use technicalheist/nixagent-1.0 with Docker Model Runner:
docker model run hf.co/technicalheist/nixagent-1.0
Upload nixagent model
Browse files- .gitattributes +2 -0
- README.md +63 -3
- adapter_config.json +51 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +204 -0
- checkpoint-30/README.md +210 -0
- checkpoint-30/adapter_config.json +50 -0
- checkpoint-30/adapter_model.safetensors +3 -0
- checkpoint-30/chat_template.jinja +204 -0
- checkpoint-30/optimizer.pt +3 -0
- checkpoint-30/rng_state.pth +3 -0
- checkpoint-30/scaler.pt +3 -0
- checkpoint-30/scheduler.pt +3 -0
- checkpoint-30/tokenizer.json +3 -0
- checkpoint-30/tokenizer_config.json +17 -0
- checkpoint-30/trainer_state.json +424 -0
- checkpoint-30/training_args.bin +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +17 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
checkpoint-30/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
CHANGED
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@@ -1,3 +1,63 @@
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-
---
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-
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-
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+
---
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| 2 |
+
base_model: unsloth/NVIDIA-Nemotron-3-Nano-4B
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+
library_name: peft
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model_name: unsloth_NVIDIA-Nemotron-3-Nano-4B_1774856196
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tags:
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- base_model:adapter:unsloth/NVIDIA-Nemotron-3-Nano-4B
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| 7 |
+
- lora
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- sft
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| 9 |
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- transformers
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| 10 |
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- trl
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- unsloth
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+
licence: license
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pipeline_tag: text-generation
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+
---
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+
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# Model Card for unsloth_NVIDIA-Nemotron-3-Nano-4B_1774856196
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This model is a fine-tuned version of [unsloth/NVIDIA-Nemotron-3-Nano-4B](https://huggingface.co/unsloth/NVIDIA-Nemotron-3-Nano-4B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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="None", 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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+
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+
## Training procedure
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+
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This model was trained with SFT.
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### Framework versions
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- PEFT 0.18.1
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- TRL: 0.23.1
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- Transformers: 5.3.0
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- Pytorch: 2.10.0+cu130
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- Datasets: 4.3.0
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- Tokenizers: 0.22.2
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## Citations
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| 49 |
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+
Cite TRL as:
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| 53 |
+
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| 54 |
+
```bibtex
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| 55 |
+
@misc{vonwerra2022trl,
|
| 56 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 57 |
+
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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| 58 |
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year = 2020,
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| 59 |
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journal = {GitHub repository},
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| 60 |
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publisher = {GitHub},
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| 61 |
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howpublished = {\url{https://github.com/huggingface/trl}}
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+
}
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| 63 |
+
```
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adapter_config.json
ADDED
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@@ -0,0 +1,51 @@
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{
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| 2 |
+
"alora_invocation_tokens": null,
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| 3 |
+
"alpha_pattern": {},
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| 4 |
+
"arrow_config": null,
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| 5 |
+
"auto_mapping": {
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| 6 |
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"base_model_class": "NemotronHForCausalLM",
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| 7 |
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"parent_library": "transformers_modules.unsloth.NVIDIA_hyphen_Nemotron_hyphen_3_hyphen_Nano_hyphen_4B.b604b1379531cfac85a3cb195c387cc698aabdeb.modeling_nemotron_h",
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"unsloth_fixed": true
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},
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"base_model_name_or_path": "unsloth/NVIDIA-Nemotron-3-Nano-4B",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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+
"lora_dropout": 0.0,
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+
"megatron_config": null,
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+
"megatron_core": "megatron.core",
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| 28 |
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"modules_to_save": null,
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"peft_type": "LORA",
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| 30 |
+
"peft_version": "0.18.1",
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+
"qalora_group_size": 16,
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"r": 16,
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+
"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"o_proj",
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"k_proj",
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"v_proj",
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"q_proj",
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"gate_proj",
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"up_proj"
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| 43 |
+
],
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| 44 |
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"target_parameters": null,
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| 45 |
+
"task_type": "CAUSAL_LM",
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| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false,
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| 50 |
+
"unsloth_training_method": "lora"
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| 51 |
+
}
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adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:5838ec41ee3b7dc900701126bac3d0e60bbb588914b5eccdfb16e12f45d8f9c9
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+
size 40490208
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chat_template.jinja
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| 1 |
+
{% macro render_extra_keys(json_dict, handled_keys) %}
|
| 2 |
+
{%- if json_dict is mapping %}
|
| 3 |
+
{%- for json_key in json_dict if json_key not in handled_keys %}
|
| 4 |
+
{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
|
| 5 |
+
{{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson ) ~ '</' ~ json_key ~ '>' }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{{-'\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
|
| 8 |
+
{%- endif %}
|
| 9 |
+
{%- endfor %}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{% endmacro %}
|
| 12 |
+
{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
|
| 13 |
+
{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %}
|
| 14 |
+
|
| 15 |
+
{%- set ns = namespace(last_user_idx = -1) %}
|
| 16 |
+
{%- set loop_messages = messages %}
|
| 17 |
+
{%- for m in loop_messages %}
|
| 18 |
+
{%- if m["role"] == "user" %}
|
| 19 |
+
{%- set ns.last_user_idx = loop.index0 %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- endfor %}
|
| 22 |
+
|
| 23 |
+
{%- if messages[0]["role"] == "system" %}
|
| 24 |
+
{%- set system_message = messages[0]["content"] %}
|
| 25 |
+
{%- set loop_messages = messages[1:] %}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- set system_message = "" %}
|
| 28 |
+
{%- set loop_messages = messages %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- if not tools is defined %}
|
| 31 |
+
{%- set tools = [] %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{# Recompute last_user_idx relative to loop_messages after handling system #}
|
| 34 |
+
{%- set ns = namespace(last_user_idx = -1) %}
|
| 35 |
+
{%- for m in loop_messages %}
|
| 36 |
+
{%- if m["role"] == "user" %}
|
| 37 |
+
{%- set ns.last_user_idx = loop.index0 %}
|
| 38 |
+
{%- endif %}
|
| 39 |
+
{%- endfor %}
|
| 40 |
+
{%- if system_message is defined %}
|
| 41 |
+
{{- "<|im_start|>system\n" + system_message }}
|
| 42 |
+
{%- else %}
|
| 43 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 44 |
+
{{- "<|im_start|>system\n" }}
|
| 45 |
+
{%- endif %}
|
| 46 |
+
{%- endif %}
|
| 47 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 48 |
+
{%- if system_message is defined and system_message | length > 0 %}
|
| 49 |
+
{{- "\n\n" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n" }}
|
| 52 |
+
{{- "<tools>" }}
|
| 53 |
+
{%- for tool in tools %}
|
| 54 |
+
{%- if tool.function is defined %}
|
| 55 |
+
{%- set tool = tool.function %}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
|
| 58 |
+
{%- if tool.description is defined %}
|
| 59 |
+
{{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
|
| 60 |
+
{%- endif %}
|
| 61 |
+
{{- '\n<parameters>' }}
|
| 62 |
+
{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
|
| 63 |
+
{%- for param_name, param_fields in tool.parameters.properties|items %}
|
| 64 |
+
{{- '\n<parameter>' }}
|
| 65 |
+
{{- '\n<name>' ~ param_name ~ '</name>' }}
|
| 66 |
+
{%- if param_fields.type is defined %}
|
| 67 |
+
{{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
|
| 68 |
+
{%- endif %}
|
| 69 |
+
{%- if param_fields.description is defined %}
|
| 70 |
+
{{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
|
| 71 |
+
{%- endif %}
|
| 72 |
+
{%- if param_fields.enum is defined %}
|
| 73 |
+
{{- '\n<enum>' ~ (param_fields.enum | tojson ) ~ '</enum>' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
|
| 76 |
+
{{- render_extra_keys(param_fields, handled_keys) }}
|
| 77 |
+
{{- '\n</parameter>' }}
|
| 78 |
+
{%- endfor %}
|
| 79 |
+
{%- endif %}
|
| 80 |
+
{% set handled_keys = ['type', 'properties', 'required'] %}
|
| 81 |
+
{{- render_extra_keys(tool.parameters, handled_keys) }}
|
| 82 |
+
{%- if tool.parameters is defined and tool.parameters.required is defined %}
|
| 83 |
+
{{- '\n<required>' ~ (tool.parameters.required | tojson ) ~ '</required>' }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{{- '\n</parameters>' }}
|
| 86 |
+
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
|
| 87 |
+
{{- render_extra_keys(tool, handled_keys) }}
|
| 88 |
+
{{- '\n</function>' }}
|
| 89 |
+
{%- endfor %}
|
| 90 |
+
{{- "\n</tools>" }}
|
| 91 |
+
|
| 92 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
|
| 95 |
+
|
| 96 |
+
{%- if system_message is defined %}
|
| 97 |
+
{{- '<|im_end|>\n' }}
|
| 98 |
+
{%- else %}
|
| 99 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 100 |
+
{{- '<|im_end|>\n' }}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- endif %}
|
| 103 |
+
|
| 104 |
+
{%- for message in loop_messages %}
|
| 105 |
+
{%- if message.role == "assistant" %}
|
| 106 |
+
{# Add reasoning content in to content field for unified processing below. #}
|
| 107 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 108 |
+
{%- set content = "<think>\n" ~ message.reasoning_content ~ "\n</think>\n" ~ (message.content | default('', true)) %}
|
| 109 |
+
{%- else %}
|
| 110 |
+
{%- set content = message.content | default('', true) %}
|
| 111 |
+
{%- if content is string -%}
|
| 112 |
+
{# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
|
| 113 |
+
{%- if '<think>' not in content and '</think>' not in content -%}
|
| 114 |
+
{%- set content = "<think></think>" ~ content -%}
|
| 115 |
+
{%- endif -%}
|
| 116 |
+
{%- else -%}
|
| 117 |
+
{%- set content = content -%}
|
| 118 |
+
{%- endif -%}
|
| 119 |
+
{%- endif %}
|
| 120 |
+
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 121 |
+
{# Assistant message has tool calls. #}
|
| 122 |
+
{{- '<|im_start|>assistant\n' }}
|
| 123 |
+
{%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 124 |
+
{%- if content is string and content | trim | length > 0 %}
|
| 125 |
+
{%- if include_content %}
|
| 126 |
+
{{- (content | trim) ~ '\n' -}}
|
| 127 |
+
{%- else %}
|
| 128 |
+
{%- set c = (content | string) %}
|
| 129 |
+
{%- if '</think>' in c %}
|
| 130 |
+
{# Keep only content after the last closing think. Also generation prompt causes this. #}
|
| 131 |
+
{%- set c = c.split('</think>')[-1] %}
|
| 132 |
+
{%- elif '<think>' in c %}
|
| 133 |
+
{# If <think> was opened but never closed, drop the trailing think segment #}
|
| 134 |
+
{%- set c = c.split('<think>')[0] %}
|
| 135 |
+
{%- endif %}
|
| 136 |
+
{%- set c = "<think></think>" ~ c | trim %}
|
| 137 |
+
{%- if c | length > 0 %}
|
| 138 |
+
{{- c ~ '\n' -}}
|
| 139 |
+
{%- endif %}
|
| 140 |
+
{%- endif %}
|
| 141 |
+
{%- else %}
|
| 142 |
+
{{- "<think></think>" -}}
|
| 143 |
+
{%- endif %}
|
| 144 |
+
{%- for tool_call in message.tool_calls %}
|
| 145 |
+
{%- if tool_call.function is defined %}
|
| 146 |
+
{%- set tool_call = tool_call.function %}
|
| 147 |
+
{%- endif %}
|
| 148 |
+
{{- '<tool_call>\n<function=' ~ tool_call.name ~ '>\n' -}}
|
| 149 |
+
{%- if tool_call.arguments is defined %}
|
| 150 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 151 |
+
{{- '<parameter=' ~ args_name ~ '>\n' -}}
|
| 152 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 153 |
+
{{- args_value ~ '\n</parameter>\n' -}}
|
| 154 |
+
{%- endfor %}
|
| 155 |
+
{%- endif %}
|
| 156 |
+
{{- '</function>\n</tool_call>\n' -}}
|
| 157 |
+
{%- endfor %}
|
| 158 |
+
{{- '<|im_end|>\n' }}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{# Assistant message doesn't have tool calls. #}
|
| 161 |
+
{%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 162 |
+
{{- '<|im_start|>assistant\n' ~ (content | default('', true) | string | trim) ~ '<|im_end|>\n' }}
|
| 163 |
+
{%- else %}
|
| 164 |
+
{%- set c = (content | default('', true) | string) %}
|
| 165 |
+
{%- if '<think>' in c and '</think>' in c %}
|
| 166 |
+
{%- set c = "<think></think>" ~ c.split('</think>')[-1] %}
|
| 167 |
+
{%- endif %}
|
| 168 |
+
{%- set c = c | trim %}
|
| 169 |
+
{%- if c | length > 0 %}
|
| 170 |
+
{{- '<|im_start|>assistant\n' ~ c ~ '<|im_end|>\n' }}
|
| 171 |
+
{%- else %}
|
| 172 |
+
{{- '<|im_start|>assistant\n<|im_end|>\n' }}
|
| 173 |
+
{%- endif %}
|
| 174 |
+
{%- endif %}
|
| 175 |
+
{%- endif %}
|
| 176 |
+
{%- elif message.role == "user" or message.role == "system" %}
|
| 177 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 178 |
+
{%- set content = message.content | string %}
|
| 179 |
+
{{- content }}
|
| 180 |
+
{{- '<|im_end|>\n' }}
|
| 181 |
+
{%- elif message.role == "tool" %}
|
| 182 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 183 |
+
{{- '<|im_start|>user\n' }}
|
| 184 |
+
{%- endif %}
|
| 185 |
+
{{- '<tool_response>\n' }}
|
| 186 |
+
{{- message.content }}
|
| 187 |
+
{{- '\n</tool_response>\n' }}
|
| 188 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 189 |
+
{{- '<|im_end|>\n' }}
|
| 190 |
+
{%- elif loop.last %}
|
| 191 |
+
{{- '<|im_end|>\n' }}
|
| 192 |
+
{%- endif %}
|
| 193 |
+
{%- else %}
|
| 194 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
|
| 195 |
+
{%- endif %}
|
| 196 |
+
{%- endfor %}
|
| 197 |
+
|
| 198 |
+
{%- if add_generation_prompt %}
|
| 199 |
+
{%- if enable_thinking %}
|
| 200 |
+
{{- '<|im_start|>assistant\n<think>\n' }}
|
| 201 |
+
{%- else %}
|
| 202 |
+
{{- '<|im_start|>assistant\n<think></think>' }}
|
| 203 |
+
{%- endif %}
|
| 204 |
+
{%- endif %}
|
checkpoint-30/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/NVIDIA-Nemotron-3-Nano-4B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/NVIDIA-Nemotron-3-Nano-4B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
checkpoint-30/adapter_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "NemotronHForCausalLM",
|
| 7 |
+
"parent_library": "transformers_modules.unsloth.NVIDIA_hyphen_Nemotron_hyphen_3_hyphen_Nano_hyphen_4B.b604b1379531cfac85a3cb195c387cc698aabdeb.modeling_nemotron_h",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/NVIDIA-Nemotron-3-Nano-4B",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 16,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.0,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": null,
|
| 29 |
+
"peft_type": "LORA",
|
| 30 |
+
"peft_version": "0.18.1",
|
| 31 |
+
"qalora_group_size": 16,
|
| 32 |
+
"r": 16,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
+
"target_modules": [
|
| 36 |
+
"down_proj",
|
| 37 |
+
"o_proj",
|
| 38 |
+
"k_proj",
|
| 39 |
+
"v_proj",
|
| 40 |
+
"q_proj",
|
| 41 |
+
"gate_proj",
|
| 42 |
+
"up_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false
|
| 50 |
+
}
|
checkpoint-30/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5838ec41ee3b7dc900701126bac3d0e60bbb588914b5eccdfb16e12f45d8f9c9
|
| 3 |
+
size 40490208
|
checkpoint-30/chat_template.jinja
ADDED
|
@@ -0,0 +1,204 @@
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
|
|
|
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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 |
+
{% macro render_extra_keys(json_dict, handled_keys) %}
|
| 2 |
+
{%- if json_dict is mapping %}
|
| 3 |
+
{%- for json_key in json_dict if json_key not in handled_keys %}
|
| 4 |
+
{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
|
| 5 |
+
{{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson ) ~ '</' ~ json_key ~ '>' }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{{-'\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
|
| 8 |
+
{%- endif %}
|
| 9 |
+
{%- endfor %}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{% endmacro %}
|
| 12 |
+
{%- set enable_thinking = enable_thinking if enable_thinking is defined else True %}
|
| 13 |
+
{%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %}
|
| 14 |
+
|
| 15 |
+
{%- set ns = namespace(last_user_idx = -1) %}
|
| 16 |
+
{%- set loop_messages = messages %}
|
| 17 |
+
{%- for m in loop_messages %}
|
| 18 |
+
{%- if m["role"] == "user" %}
|
| 19 |
+
{%- set ns.last_user_idx = loop.index0 %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- endfor %}
|
| 22 |
+
|
| 23 |
+
{%- if messages[0]["role"] == "system" %}
|
| 24 |
+
{%- set system_message = messages[0]["content"] %}
|
| 25 |
+
{%- set loop_messages = messages[1:] %}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- set system_message = "" %}
|
| 28 |
+
{%- set loop_messages = messages %}
|
| 29 |
+
{%- endif %}
|
| 30 |
+
{%- if not tools is defined %}
|
| 31 |
+
{%- set tools = [] %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{# Recompute last_user_idx relative to loop_messages after handling system #}
|
| 34 |
+
{%- set ns = namespace(last_user_idx = -1) %}
|
| 35 |
+
{%- for m in loop_messages %}
|
| 36 |
+
{%- if m["role"] == "user" %}
|
| 37 |
+
{%- set ns.last_user_idx = loop.index0 %}
|
| 38 |
+
{%- endif %}
|
| 39 |
+
{%- endfor %}
|
| 40 |
+
{%- if system_message is defined %}
|
| 41 |
+
{{- "<|im_start|>system\n" + system_message }}
|
| 42 |
+
{%- else %}
|
| 43 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 44 |
+
{{- "<|im_start|>system\n" }}
|
| 45 |
+
{%- endif %}
|
| 46 |
+
{%- endif %}
|
| 47 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 48 |
+
{%- if system_message is defined and system_message | length > 0 %}
|
| 49 |
+
{{- "\n\n" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n" }}
|
| 52 |
+
{{- "<tools>" }}
|
| 53 |
+
{%- for tool in tools %}
|
| 54 |
+
{%- if tool.function is defined %}
|
| 55 |
+
{%- set tool = tool.function %}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
|
| 58 |
+
{%- if tool.description is defined %}
|
| 59 |
+
{{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
|
| 60 |
+
{%- endif %}
|
| 61 |
+
{{- '\n<parameters>' }}
|
| 62 |
+
{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
|
| 63 |
+
{%- for param_name, param_fields in tool.parameters.properties|items %}
|
| 64 |
+
{{- '\n<parameter>' }}
|
| 65 |
+
{{- '\n<name>' ~ param_name ~ '</name>' }}
|
| 66 |
+
{%- if param_fields.type is defined %}
|
| 67 |
+
{{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
|
| 68 |
+
{%- endif %}
|
| 69 |
+
{%- if param_fields.description is defined %}
|
| 70 |
+
{{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
|
| 71 |
+
{%- endif %}
|
| 72 |
+
{%- if param_fields.enum is defined %}
|
| 73 |
+
{{- '\n<enum>' ~ (param_fields.enum | tojson ) ~ '</enum>' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- set handled_keys = ['name', 'type', 'description', 'enum'] %}
|
| 76 |
+
{{- render_extra_keys(param_fields, handled_keys) }}
|
| 77 |
+
{{- '\n</parameter>' }}
|
| 78 |
+
{%- endfor %}
|
| 79 |
+
{%- endif %}
|
| 80 |
+
{% set handled_keys = ['type', 'properties', 'required'] %}
|
| 81 |
+
{{- render_extra_keys(tool.parameters, handled_keys) }}
|
| 82 |
+
{%- if tool.parameters is defined and tool.parameters.required is defined %}
|
| 83 |
+
{{- '\n<required>' ~ (tool.parameters.required | tojson ) ~ '</required>' }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{{- '\n</parameters>' }}
|
| 86 |
+
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
|
| 87 |
+
{{- render_extra_keys(tool, handled_keys) }}
|
| 88 |
+
{{- '\n</function>' }}
|
| 89 |
+
{%- endfor %}
|
| 90 |
+
{{- "\n</tools>" }}
|
| 91 |
+
|
| 92 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
|
| 95 |
+
|
| 96 |
+
{%- if system_message is defined %}
|
| 97 |
+
{{- '<|im_end|>\n' }}
|
| 98 |
+
{%- else %}
|
| 99 |
+
{%- if tools is iterable and tools | length > 0 %}
|
| 100 |
+
{{- '<|im_end|>\n' }}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- endif %}
|
| 103 |
+
|
| 104 |
+
{%- for message in loop_messages %}
|
| 105 |
+
{%- if message.role == "assistant" %}
|
| 106 |
+
{# Add reasoning content in to content field for unified processing below. #}
|
| 107 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 108 |
+
{%- set content = "<think>\n" ~ message.reasoning_content ~ "\n</think>\n" ~ (message.content | default('', true)) %}
|
| 109 |
+
{%- else %}
|
| 110 |
+
{%- set content = message.content | default('', true) %}
|
| 111 |
+
{%- if content is string -%}
|
| 112 |
+
{# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #}
|
| 113 |
+
{%- if '<think>' not in content and '</think>' not in content -%}
|
| 114 |
+
{%- set content = "<think></think>" ~ content -%}
|
| 115 |
+
{%- endif -%}
|
| 116 |
+
{%- else -%}
|
| 117 |
+
{%- set content = content -%}
|
| 118 |
+
{%- endif -%}
|
| 119 |
+
{%- endif %}
|
| 120 |
+
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
| 121 |
+
{# Assistant message has tool calls. #}
|
| 122 |
+
{{- '<|im_start|>assistant\n' }}
|
| 123 |
+
{%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 124 |
+
{%- if content is string and content | trim | length > 0 %}
|
| 125 |
+
{%- if include_content %}
|
| 126 |
+
{{- (content | trim) ~ '\n' -}}
|
| 127 |
+
{%- else %}
|
| 128 |
+
{%- set c = (content | string) %}
|
| 129 |
+
{%- if '</think>' in c %}
|
| 130 |
+
{# Keep only content after the last closing think. Also generation prompt causes this. #}
|
| 131 |
+
{%- set c = c.split('</think>')[-1] %}
|
| 132 |
+
{%- elif '<think>' in c %}
|
| 133 |
+
{# If <think> was opened but never closed, drop the trailing think segment #}
|
| 134 |
+
{%- set c = c.split('<think>')[0] %}
|
| 135 |
+
{%- endif %}
|
| 136 |
+
{%- set c = "<think></think>" ~ c | trim %}
|
| 137 |
+
{%- if c | length > 0 %}
|
| 138 |
+
{{- c ~ '\n' -}}
|
| 139 |
+
{%- endif %}
|
| 140 |
+
{%- endif %}
|
| 141 |
+
{%- else %}
|
| 142 |
+
{{- "<think></think>" -}}
|
| 143 |
+
{%- endif %}
|
| 144 |
+
{%- for tool_call in message.tool_calls %}
|
| 145 |
+
{%- if tool_call.function is defined %}
|
| 146 |
+
{%- set tool_call = tool_call.function %}
|
| 147 |
+
{%- endif %}
|
| 148 |
+
{{- '<tool_call>\n<function=' ~ tool_call.name ~ '>\n' -}}
|
| 149 |
+
{%- if tool_call.arguments is defined %}
|
| 150 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 151 |
+
{{- '<parameter=' ~ args_name ~ '>\n' -}}
|
| 152 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 153 |
+
{{- args_value ~ '\n</parameter>\n' -}}
|
| 154 |
+
{%- endfor %}
|
| 155 |
+
{%- endif %}
|
| 156 |
+
{{- '</function>\n</tool_call>\n' -}}
|
| 157 |
+
{%- endfor %}
|
| 158 |
+
{{- '<|im_end|>\n' }}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{# Assistant message doesn't have tool calls. #}
|
| 161 |
+
{%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %}
|
| 162 |
+
{{- '<|im_start|>assistant\n' ~ (content | default('', true) | string | trim) ~ '<|im_end|>\n' }}
|
| 163 |
+
{%- else %}
|
| 164 |
+
{%- set c = (content | default('', true) | string) %}
|
| 165 |
+
{%- if '<think>' in c and '</think>' in c %}
|
| 166 |
+
{%- set c = "<think></think>" ~ c.split('</think>')[-1] %}
|
| 167 |
+
{%- endif %}
|
| 168 |
+
{%- set c = c | trim %}
|
| 169 |
+
{%- if c | length > 0 %}
|
| 170 |
+
{{- '<|im_start|>assistant\n' ~ c ~ '<|im_end|>\n' }}
|
| 171 |
+
{%- else %}
|
| 172 |
+
{{- '<|im_start|>assistant\n<|im_end|>\n' }}
|
| 173 |
+
{%- endif %}
|
| 174 |
+
{%- endif %}
|
| 175 |
+
{%- endif %}
|
| 176 |
+
{%- elif message.role == "user" or message.role == "system" %}
|
| 177 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 178 |
+
{%- set content = message.content | string %}
|
| 179 |
+
{{- content }}
|
| 180 |
+
{{- '<|im_end|>\n' }}
|
| 181 |
+
{%- elif message.role == "tool" %}
|
| 182 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 183 |
+
{{- '<|im_start|>user\n' }}
|
| 184 |
+
{%- endif %}
|
| 185 |
+
{{- '<tool_response>\n' }}
|
| 186 |
+
{{- message.content }}
|
| 187 |
+
{{- '\n</tool_response>\n' }}
|
| 188 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 189 |
+
{{- '<|im_end|>\n' }}
|
| 190 |
+
{%- elif loop.last %}
|
| 191 |
+
{{- '<|im_end|>\n' }}
|
| 192 |
+
{%- endif %}
|
| 193 |
+
{%- else %}
|
| 194 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
|
| 195 |
+
{%- endif %}
|
| 196 |
+
{%- endfor %}
|
| 197 |
+
|
| 198 |
+
{%- if add_generation_prompt %}
|
| 199 |
+
{%- if enable_thinking %}
|
| 200 |
+
{{- '<|im_start|>assistant\n<think>\n' }}
|
| 201 |
+
{%- else %}
|
| 202 |
+
{{- '<|im_start|>assistant\n<think></think>' }}
|
| 203 |
+
{%- endif %}
|
| 204 |
+
{%- endif %}
|
checkpoint-30/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9356e695fa000ff46944a7ba7d61d32ab1851bb16c69ea31e5b36fc0aac8a23
|
| 3 |
+
size 20676171
|
checkpoint-30/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0b45f84e4a65f770909a2acffd69867eb689ece81377b628d95f68d63d41bff
|
| 3 |
+
size 14645
|
checkpoint-30/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6dccf17fff2acdcc8fb3349f377136fb981b58a0c777eeef5d6160b3aae41e52
|
| 3 |
+
size 1383
|
checkpoint-30/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d65250290ca0ba47d76797cfae41bed809ba7a96636352bff487b24f05f6231
|
| 3 |
+
size 1465
|
checkpoint-30/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:623c34567aebb18582765289fbe23d901c62704d6518d71866e0e58db892b5b7
|
| 3 |
+
size 17077484
|
checkpoint-30/tokenizer_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<s>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"model_input_names": [
|
| 9 |
+
"input_ids",
|
| 10 |
+
"attention_mask"
|
| 11 |
+
],
|
| 12 |
+
"model_max_length": 262144,
|
| 13 |
+
"pad_token": "<SPECIAL_999>",
|
| 14 |
+
"padding_side": "right",
|
| 15 |
+
"tokenizer_class": "TokenizersBackend",
|
| 16 |
+
"unk_token": "<unk>"
|
| 17 |
+
}
|
checkpoint-30/trainer_state.json
ADDED
|
@@ -0,0 +1,424 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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