Upload folder using huggingface_hub
Browse files- README.md +62 -0
- adapter_config.json +47 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +37 -0
- checkpoint-105/README.md +209 -0
- checkpoint-105/adapter_config.json +47 -0
- checkpoint-105/adapter_model.safetensors +3 -0
- checkpoint-105/chat_template.jinja +37 -0
- checkpoint-105/optimizer.pt +3 -0
- checkpoint-105/rng_state.pth +3 -0
- checkpoint-105/scheduler.pt +3 -0
- checkpoint-105/tokenizer.json +0 -0
- checkpoint-105/tokenizer_config.json +19 -0
- checkpoint-105/trainer_state.json +1084 -0
- checkpoint-105/training_args.bin +3 -0
- checkpoint-35/README.md +209 -0
- checkpoint-35/adapter_config.json +47 -0
- checkpoint-35/adapter_model.safetensors +3 -0
- checkpoint-35/chat_template.jinja +37 -0
- checkpoint-35/optimizer.pt +3 -0
- checkpoint-35/rng_state.pth +3 -0
- checkpoint-35/scheduler.pt +3 -0
- checkpoint-35/tokenizer.json +0 -0
- checkpoint-35/tokenizer_config.json +19 -0
- checkpoint-35/trainer_state.json +384 -0
- checkpoint-35/training_args.bin +3 -0
- checkpoint-70/README.md +209 -0
- checkpoint-70/adapter_config.json +47 -0
- checkpoint-70/adapter_model.safetensors +3 -0
- checkpoint-70/chat_template.jinja +37 -0
- checkpoint-70/optimizer.pt +3 -0
- checkpoint-70/rng_state.pth +3 -0
- checkpoint-70/scheduler.pt +3 -0
- checkpoint-70/tokenizer.json +0 -0
- checkpoint-70/tokenizer_config.json +19 -0
- checkpoint-70/trainer_state.json +734 -0
- checkpoint-70/training_args.bin +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +19 -0
- training_args.bin +3 -0
README.md
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---
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| 2 |
+
base_model: liquidai/LFM2-1.2B
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| 3 |
+
library_name: peft
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+
model_name: EventModel-1.2B
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| 5 |
+
tags:
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| 6 |
+
- base_model:adapter:liquidai/LFM2-1.2B
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| 7 |
+
- lora
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| 8 |
+
- sft
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| 9 |
+
- transformers
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| 10 |
+
- trl
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| 11 |
+
licence: license
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| 12 |
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pipeline_tag: text-generation
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+
---
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| 14 |
+
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| 15 |
+
# Model Card for EventModel-1.2B
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| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [liquidai/LFM2-1.2B](https://huggingface.co/liquidai/LFM2-1.2B).
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| 18 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
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| 19 |
+
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| 20 |
+
## Quick start
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| 21 |
+
|
| 22 |
+
```python
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| 23 |
+
from transformers import pipeline
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| 25 |
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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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| 27 |
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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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| 29 |
+
```
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| 30 |
+
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| 31 |
+
## Training procedure
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| 32 |
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| 36 |
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This model was trained with SFT.
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| 37 |
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|
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+
### Framework versions
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| 39 |
+
|
| 40 |
+
- PEFT 0.18.1
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| 41 |
+
- TRL: 0.27.2
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| 42 |
+
- Transformers: 5.1.0
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| 43 |
+
- Pytorch: 2.10.0
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| 44 |
+
- Datasets: 4.5.0
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| 45 |
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- Tokenizers: 0.22.2
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| 46 |
+
|
| 47 |
+
## Citations
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| 48 |
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| 49 |
+
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| 50 |
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| 51 |
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Cite TRL as:
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| 52 |
+
|
| 53 |
+
```bibtex
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| 54 |
+
@misc{vonwerra2022trl,
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| 55 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 56 |
+
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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| 57 |
+
year = 2020,
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| 58 |
+
journal = {GitHub repository},
|
| 59 |
+
publisher = {GitHub},
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| 60 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
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| 61 |
+
}
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| 62 |
+
```
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adapter_config.json
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": null,
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| 6 |
+
"base_model_name_or_path": "liquidai/LFM2-1.2B",
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| 7 |
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"bias": "none",
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| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
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| 14 |
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"init_lora_weights": true,
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| 15 |
+
"layer_replication": null,
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| 16 |
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"layers_pattern": null,
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| 17 |
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"layers_to_transform": null,
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| 18 |
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"loftq_config": {},
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| 19 |
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"lora_alpha": 32,
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| 20 |
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"lora_bias": false,
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| 21 |
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"lora_dropout": 0.05,
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| 22 |
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"megatron_config": null,
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| 23 |
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"megatron_core": "megatron.core",
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| 24 |
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"modules_to_save": null,
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| 25 |
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"peft_type": "LORA",
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| 26 |
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"peft_version": "0.18.1",
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| 27 |
+
"qalora_group_size": 16,
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| 28 |
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"r": 16,
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| 29 |
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"rank_pattern": {},
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| 30 |
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"revision": null,
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| 31 |
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"target_modules": [
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| 32 |
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"k_proj",
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| 33 |
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"v_proj",
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| 34 |
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"w3",
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| 35 |
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"in_proj",
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| 36 |
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"out_proj",
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| 37 |
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"q_proj",
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| 38 |
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"w2",
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| 39 |
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"w1"
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| 40 |
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],
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| 41 |
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"target_parameters": null,
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| 42 |
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"task_type": "CAUSAL_LM",
|
| 43 |
+
"trainable_token_indices": null,
|
| 44 |
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"use_dora": false,
|
| 45 |
+
"use_qalora": false,
|
| 46 |
+
"use_rslora": false
|
| 47 |
+
}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:c19812c8594095365dc2b43bf18e294981f38b2f3c366474ad5fda67906de336
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| 3 |
+
size 44457856
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chat_template.jinja
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{{- bos_token -}}
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| 2 |
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{%- set system_prompt = "" -%}
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| 3 |
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{%- set ns = namespace(system_prompt="") -%}
|
| 4 |
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{%- if messages[0]["role"] == "system" -%}
|
| 5 |
+
{%- set ns.system_prompt = messages[0]["content"] -%}
|
| 6 |
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{%- set messages = messages[1:] -%}
|
| 7 |
+
{%- endif -%}
|
| 8 |
+
{%- if tools -%}
|
| 9 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
|
| 10 |
+
{%- for tool in tools -%}
|
| 11 |
+
{%- if tool is not string -%}
|
| 12 |
+
{%- set tool = tool | tojson -%}
|
| 13 |
+
{%- endif -%}
|
| 14 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 15 |
+
{%- if not loop.last -%}
|
| 16 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 17 |
+
{%- endif -%}
|
| 18 |
+
{%- endfor -%}
|
| 19 |
+
{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if ns.system_prompt -%}
|
| 22 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 23 |
+
{%- endif -%}
|
| 24 |
+
{%- for message in messages -%}
|
| 25 |
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{{- "<|im_start|>" + message["role"] + "\n" -}}
|
| 26 |
+
{%- set content = message["content"] -%}
|
| 27 |
+
{%- if content is not string -%}
|
| 28 |
+
{%- set content = content | tojson -%}
|
| 29 |
+
{%- endif -%}
|
| 30 |
+
{%- if message["role"] == "tool" -%}
|
| 31 |
+
{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
|
| 32 |
+
{%- endif -%}
|
| 33 |
+
{{- content + "<|im_end|>\n" -}}
|
| 34 |
+
{%- endfor -%}
|
| 35 |
+
{%- if add_generation_prompt -%}
|
| 36 |
+
{{- "<|im_start|>assistant\n" -}}
|
| 37 |
+
{%- endif -%}
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checkpoint-105/README.md
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|
| 1 |
+
---
|
| 2 |
+
base_model: liquidai/LFM2-1.2B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:liquidai/LFM2-1.2B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
checkpoint-105/adapter_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "liquidai/LFM2-1.2B",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"k_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"w3",
|
| 35 |
+
"in_proj",
|
| 36 |
+
"out_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"w2",
|
| 39 |
+
"w1"
|
| 40 |
+
],
|
| 41 |
+
"target_parameters": null,
|
| 42 |
+
"task_type": "CAUSAL_LM",
|
| 43 |
+
"trainable_token_indices": null,
|
| 44 |
+
"use_dora": false,
|
| 45 |
+
"use_qalora": false,
|
| 46 |
+
"use_rslora": false
|
| 47 |
+
}
|
checkpoint-105/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c19812c8594095365dc2b43bf18e294981f38b2f3c366474ad5fda67906de336
|
| 3 |
+
size 44457856
|
checkpoint-105/chat_template.jinja
ADDED
|
@@ -0,0 +1,37 @@
|
|
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|
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|
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|
|
|
|
| 1 |
+
{{- bos_token -}}
|
| 2 |
+
{%- set system_prompt = "" -%}
|
| 3 |
+
{%- set ns = namespace(system_prompt="") -%}
|
| 4 |
+
{%- if messages[0]["role"] == "system" -%}
|
| 5 |
+
{%- set ns.system_prompt = messages[0]["content"] -%}
|
| 6 |
+
{%- set messages = messages[1:] -%}
|
| 7 |
+
{%- endif -%}
|
| 8 |
+
{%- if tools -%}
|
| 9 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
|
| 10 |
+
{%- for tool in tools -%}
|
| 11 |
+
{%- if tool is not string -%}
|
| 12 |
+
{%- set tool = tool | tojson -%}
|
| 13 |
+
{%- endif -%}
|
| 14 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 15 |
+
{%- if not loop.last -%}
|
| 16 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 17 |
+
{%- endif -%}
|
| 18 |
+
{%- endfor -%}
|
| 19 |
+
{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if ns.system_prompt -%}
|
| 22 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 23 |
+
{%- endif -%}
|
| 24 |
+
{%- for message in messages -%}
|
| 25 |
+
{{- "<|im_start|>" + message["role"] + "\n" -}}
|
| 26 |
+
{%- set content = message["content"] -%}
|
| 27 |
+
{%- if content is not string -%}
|
| 28 |
+
{%- set content = content | tojson -%}
|
| 29 |
+
{%- endif -%}
|
| 30 |
+
{%- if message["role"] == "tool" -%}
|
| 31 |
+
{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
|
| 32 |
+
{%- endif -%}
|
| 33 |
+
{{- content + "<|im_end|>\n" -}}
|
| 34 |
+
{%- endfor -%}
|
| 35 |
+
{%- if add_generation_prompt -%}
|
| 36 |
+
{{- "<|im_start|>assistant\n" -}}
|
| 37 |
+
{%- endif -%}
|
checkpoint-105/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7e6f7734118dffa06cda9f103852560fd2f38c76dbf1e81fce9dd6148b6c55d
|
| 3 |
+
size 22781963
|
checkpoint-105/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
|
|
|
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|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab90f93fa91adbe2cb633343c3677564f71a43ed32e948455d4a727280b4483c
|
| 3 |
+
size 14645
|
checkpoint-105/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8ec32c4320805a3f35a1c5c994350ccf8df6e162d5cff6b8f795489ce7c9ed7f
|
| 3 |
+
size 1465
|
checkpoint-105/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-105/tokenizer_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
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|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"is_local": false,
|
| 7 |
+
"legacy": false,
|
| 8 |
+
"model_input_names": [
|
| 9 |
+
"input_ids",
|
| 10 |
+
"attention_mask"
|
| 11 |
+
],
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"pad_token": "<|pad|>",
|
| 14 |
+
"sp_model_kwargs": {},
|
| 15 |
+
"spaces_between_special_tokens": false,
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"use_default_system_prompt": false,
|
| 18 |
+
"use_fast": true
|
| 19 |
+
}
|
checkpoint-105/trainer_state.json
ADDED
|
@@ -0,0 +1,1084 @@
|
|
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|
checkpoint-105/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:52ba7412e8bcc04ce1aaecd5a483524507e2aac83863d87ce0c7eb227cd9b2bb
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| 3 |
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size 5585
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checkpoint-35/README.md
ADDED
|
@@ -0,0 +1,209 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: liquidai/LFM2-1.2B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:liquidai/LFM2-1.2B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
checkpoint-35/adapter_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
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"base_model_name_or_path": "liquidai/LFM2-1.2B",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"k_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"w3",
|
| 35 |
+
"in_proj",
|
| 36 |
+
"out_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"w2",
|
| 39 |
+
"w1"
|
| 40 |
+
],
|
| 41 |
+
"target_parameters": null,
|
| 42 |
+
"task_type": "CAUSAL_LM",
|
| 43 |
+
"trainable_token_indices": null,
|
| 44 |
+
"use_dora": false,
|
| 45 |
+
"use_qalora": false,
|
| 46 |
+
"use_rslora": false
|
| 47 |
+
}
|
checkpoint-35/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:428f145f705799ec03dd76339887147fa30bd7294cc0b8aeb81a485f80e1b91d
|
| 3 |
+
size 44457856
|
checkpoint-35/chat_template.jinja
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token -}}
|
| 2 |
+
{%- set system_prompt = "" -%}
|
| 3 |
+
{%- set ns = namespace(system_prompt="") -%}
|
| 4 |
+
{%- if messages[0]["role"] == "system" -%}
|
| 5 |
+
{%- set ns.system_prompt = messages[0]["content"] -%}
|
| 6 |
+
{%- set messages = messages[1:] -%}
|
| 7 |
+
{%- endif -%}
|
| 8 |
+
{%- if tools -%}
|
| 9 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
|
| 10 |
+
{%- for tool in tools -%}
|
| 11 |
+
{%- if tool is not string -%}
|
| 12 |
+
{%- set tool = tool | tojson -%}
|
| 13 |
+
{%- endif -%}
|
| 14 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 15 |
+
{%- if not loop.last -%}
|
| 16 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 17 |
+
{%- endif -%}
|
| 18 |
+
{%- endfor -%}
|
| 19 |
+
{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if ns.system_prompt -%}
|
| 22 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 23 |
+
{%- endif -%}
|
| 24 |
+
{%- for message in messages -%}
|
| 25 |
+
{{- "<|im_start|>" + message["role"] + "\n" -}}
|
| 26 |
+
{%- set content = message["content"] -%}
|
| 27 |
+
{%- if content is not string -%}
|
| 28 |
+
{%- set content = content | tojson -%}
|
| 29 |
+
{%- endif -%}
|
| 30 |
+
{%- if message["role"] == "tool" -%}
|
| 31 |
+
{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
|
| 32 |
+
{%- endif -%}
|
| 33 |
+
{{- content + "<|im_end|>\n" -}}
|
| 34 |
+
{%- endfor -%}
|
| 35 |
+
{%- if add_generation_prompt -%}
|
| 36 |
+
{{- "<|im_start|>assistant\n" -}}
|
| 37 |
+
{%- endif -%}
|
checkpoint-35/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f582e3a0da4a30ca4c038be9f7c0113eb75ad0168ae4e3d781bea6d29dd80aae
|
| 3 |
+
size 22781963
|
checkpoint-35/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d0f6eb329c0a95a4ae3a05d884f9c2990834366a08b9e30a30949b4ece96e18
|
| 3 |
+
size 14645
|
checkpoint-35/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8eb4b45d579fee7e7b473b418068b26f82cdc6768ed7f182ef59ed0402defd17
|
| 3 |
+
size 1465
|
checkpoint-35/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-35/tokenizer_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"is_local": false,
|
| 7 |
+
"legacy": false,
|
| 8 |
+
"model_input_names": [
|
| 9 |
+
"input_ids",
|
| 10 |
+
"attention_mask"
|
| 11 |
+
],
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"pad_token": "<|pad|>",
|
| 14 |
+
"sp_model_kwargs": {},
|
| 15 |
+
"spaces_between_special_tokens": false,
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"use_default_system_prompt": false,
|
| 18 |
+
"use_fast": true
|
| 19 |
+
}
|
checkpoint-35/trainer_state.json
ADDED
|
@@ -0,0 +1,384 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
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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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|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
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"best_metric": null,
|
| 4 |
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"best_model_checkpoint": null,
|
| 5 |
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"epoch": 1.0,
|
| 6 |
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"eval_steps": 500,
|
| 7 |
+
"global_step": 35,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
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{
|
| 13 |
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"entropy": 2.5899229049682617,
|
| 14 |
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"epoch": 0.029304029304029304,
|
| 15 |
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"grad_norm": 2.8183693885803223,
|
| 16 |
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"learning_rate": 0.0002,
|
| 17 |
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"loss": 4.0399041175842285,
|
| 18 |
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"mean_token_accuracy": 0.2504686303436756,
|
| 19 |
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"num_tokens": 943.0,
|
| 20 |
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"step": 1
|
| 21 |
+
},
|
| 22 |
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{
|
| 23 |
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"entropy": 2.4779607951641083,
|
| 24 |
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"epoch": 0.05860805860805861,
|
| 25 |
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"grad_norm": 2.0576627254486084,
|
| 26 |
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"learning_rate": 0.0001980952380952381,
|
| 27 |
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"loss": 3.5690760612487793,
|
| 28 |
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"mean_token_accuracy": 0.33353323861956596,
|
| 29 |
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"num_tokens": 1943.0,
|
| 30 |
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"step": 2
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"entropy": 2.6818120777606964,
|
| 34 |
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"epoch": 0.08791208791208792,
|
| 35 |
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"grad_norm": 1.8687777519226074,
|
| 36 |
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"learning_rate": 0.0001961904761904762,
|
| 37 |
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"loss": 3.2856528759002686,
|
| 38 |
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"mean_token_accuracy": 0.3809729106724262,
|
| 39 |
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"num_tokens": 2888.0,
|
| 40 |
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"step": 3
|
| 41 |
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},
|
| 42 |
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{
|
| 43 |
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"entropy": 2.715443432331085,
|
| 44 |
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"epoch": 0.11721611721611722,
|
| 45 |
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"grad_norm": 1.5808842182159424,
|
| 46 |
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"learning_rate": 0.0001942857142857143,
|
| 47 |
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"loss": 2.8003592491149902,
|
| 48 |
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"mean_token_accuracy": 0.40646324679255486,
|
| 49 |
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"num_tokens": 3931.0,
|
| 50 |
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"step": 4
|
| 51 |
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},
|
| 52 |
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{
|
| 53 |
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"entropy": 2.8187700510025024,
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|
| 1 |
+
---
|
| 2 |
+
base_model: liquidai/LFM2-1.2B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:liquidai/LFM2-1.2B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
checkpoint-70/adapter_config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "liquidai/LFM2-1.2B",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"k_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"w3",
|
| 35 |
+
"in_proj",
|
| 36 |
+
"out_proj",
|
| 37 |
+
"q_proj",
|
| 38 |
+
"w2",
|
| 39 |
+
"w1"
|
| 40 |
+
],
|
| 41 |
+
"target_parameters": null,
|
| 42 |
+
"task_type": "CAUSAL_LM",
|
| 43 |
+
"trainable_token_indices": null,
|
| 44 |
+
"use_dora": false,
|
| 45 |
+
"use_qalora": false,
|
| 46 |
+
"use_rslora": false
|
| 47 |
+
}
|
checkpoint-70/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d0356ece6e4fc822917666f161d2303a82943c70da69645be19e95e90e4fa64
|
| 3 |
+
size 44457856
|
checkpoint-70/chat_template.jinja
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token -}}
|
| 2 |
+
{%- set system_prompt = "" -%}
|
| 3 |
+
{%- set ns = namespace(system_prompt="") -%}
|
| 4 |
+
{%- if messages[0]["role"] == "system" -%}
|
| 5 |
+
{%- set ns.system_prompt = messages[0]["content"] -%}
|
| 6 |
+
{%- set messages = messages[1:] -%}
|
| 7 |
+
{%- endif -%}
|
| 8 |
+
{%- if tools -%}
|
| 9 |
+
{%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: <|tool_list_start|>[" -%}
|
| 10 |
+
{%- for tool in tools -%}
|
| 11 |
+
{%- if tool is not string -%}
|
| 12 |
+
{%- set tool = tool | tojson -%}
|
| 13 |
+
{%- endif -%}
|
| 14 |
+
{%- set ns.system_prompt = ns.system_prompt + tool -%}
|
| 15 |
+
{%- if not loop.last -%}
|
| 16 |
+
{%- set ns.system_prompt = ns.system_prompt + ", " -%}
|
| 17 |
+
{%- endif -%}
|
| 18 |
+
{%- endfor -%}
|
| 19 |
+
{%- set ns.system_prompt = ns.system_prompt + "]<|tool_list_end|>" -%}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if ns.system_prompt -%}
|
| 22 |
+
{{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
|
| 23 |
+
{%- endif -%}
|
| 24 |
+
{%- for message in messages -%}
|
| 25 |
+
{{- "<|im_start|>" + message["role"] + "\n" -}}
|
| 26 |
+
{%- set content = message["content"] -%}
|
| 27 |
+
{%- if content is not string -%}
|
| 28 |
+
{%- set content = content | tojson -%}
|
| 29 |
+
{%- endif -%}
|
| 30 |
+
{%- if message["role"] == "tool" -%}
|
| 31 |
+
{%- set content = "<|tool_response_start|>" + content + "<|tool_response_end|>" -%}
|
| 32 |
+
{%- endif -%}
|
| 33 |
+
{{- content + "<|im_end|>\n" -}}
|
| 34 |
+
{%- endfor -%}
|
| 35 |
+
{%- if add_generation_prompt -%}
|
| 36 |
+
{{- "<|im_start|>assistant\n" -}}
|
| 37 |
+
{%- endif -%}
|
checkpoint-70/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c27fe049e8895c3aebfb139ab3c6d4a093e8c4e26239440ccf70a0e879fa674c
|
| 3 |
+
size 22781963
|
checkpoint-70/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d806e252584cc482a46e06f298ff9c545f593a388b3ea84bc803183719f2e6a7
|
| 3 |
+
size 14645
|
checkpoint-70/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f57cb2cb9a15d17691efd9341390dee0126b4f7088532f3f4286ff0e2acb9cee
|
| 3 |
+
size 1465
|
checkpoint-70/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-70/tokenizer_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"is_local": false,
|
| 7 |
+
"legacy": false,
|
| 8 |
+
"model_input_names": [
|
| 9 |
+
"input_ids",
|
| 10 |
+
"attention_mask"
|
| 11 |
+
],
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"pad_token": "<|pad|>",
|
| 14 |
+
"sp_model_kwargs": {},
|
| 15 |
+
"spaces_between_special_tokens": false,
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"use_default_system_prompt": false,
|
| 18 |
+
"use_fast": true
|
| 19 |
+
}
|
checkpoint-70/trainer_state.json
ADDED
|
@@ -0,0 +1,734 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 70,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 2.5899229049682617,
|
| 14 |
+
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| 711 |
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| 713 |
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| 714 |
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|
| 715 |
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|
| 716 |
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|
| 717 |
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|
| 718 |
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|
| 719 |
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"TrainerControl": {
|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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|
| 725 |
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|
| 726 |
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| 727 |
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"attributes": {}
|
| 728 |
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|
| 729 |
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| 730 |
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|
| 731 |
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| 732 |
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|
| 733 |
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|
| 734 |
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|
checkpoint-70/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:52ba7412e8bcc04ce1aaecd5a483524507e2aac83863d87ce0c7eb227cd9b2bb
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| 3 |
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size 5585
|
tokenizer.json
ADDED
|
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|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,19 @@
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
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"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
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"is_local": false,
|
| 7 |
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"legacy": false,
|
| 8 |
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"model_input_names": [
|
| 9 |
+
"input_ids",
|
| 10 |
+
"attention_mask"
|
| 11 |
+
],
|
| 12 |
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"model_max_length": 1000000000000000019884624838656,
|
| 13 |
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"pad_token": "<|pad|>",
|
| 14 |
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"sp_model_kwargs": {},
|
| 15 |
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"spaces_between_special_tokens": false,
|
| 16 |
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"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"use_default_system_prompt": false,
|
| 18 |
+
"use_fast": true
|
| 19 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:52ba7412e8bcc04ce1aaecd5a483524507e2aac83863d87ce0c7eb227cd9b2bb
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| 3 |
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size 5585
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