初始化项目，由ModelHub XC社区提供模型
Model: qylis/llama3.2-3b-tuned Source: Original Platform
This commit is contained in:
ModelHub XC
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
|||||||
|
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.model filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||||
207
README.md
Normal file
207
README.md
Normal file
@@ -0,0 +1,207 @@
|
|||||||
|
---
|
||||||
|
language:
|
||||||
|
- en
|
||||||
|
- hi
|
||||||
|
- te
|
||||||
|
license: llama3.2
|
||||||
|
license_link: https://www.llama.com/llama3_2/license/
|
||||||
|
base_model: meta-llama/Llama-3.2-3B
|
||||||
|
tags:
|
||||||
|
- llama
|
||||||
|
- llama-3.2
|
||||||
|
- fine-tuned
|
||||||
|
- qylis
|
||||||
|
- text-generation
|
||||||
|
- instruction-following
|
||||||
|
- medical
|
||||||
|
- finance
|
||||||
|
- insurance
|
||||||
|
- biology
|
||||||
|
- claims
|
||||||
|
- chemistry
|
||||||
|
pipeline_tag: text-generation
|
||||||
|
model_name: qylis/llama3.2-3b-tuned
|
||||||
|
datasets:
|
||||||
|
- gbharti/finance-alpaca
|
||||||
|
- medalpaca/medical_meadow_wikidoc
|
||||||
|
metrics:
|
||||||
|
- bleu
|
||||||
|
library_name: transformers
|
||||||
|
---
|
||||||
|
|
||||||
|
<div align="center">
|
||||||
|
|
||||||
|
<!-- Qylis Logo / Brand Header -->
|
||||||
|
<picture>
|
||||||
|
<source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/qylis/llama3.2-3b-tuned/resolve/main/assets/qylis-logo-dark.png">
|
||||||
|
<img alt="Qylis Logo" src="https://huggingface.co/qylis/llama3.2-3b-tuned/resolve/main/assets/qylis-logo.png" width="200"/>
|
||||||
|
</picture>
|
||||||
|
|
||||||
|
# 🦙 Qylis / Llama-3.2-3B-Tuned
|
||||||
|
|
||||||
|
**A fine-tuned Llama 3.2 3B model by [Qylis](https://qylis.com)**
|
||||||
|
|
||||||
|
[](https://huggingface.co/meta-llama/Llama-3.2-3B)
|
||||||
|
[](https://qylis.com)
|
||||||
|
[](https://www.llama.com/llama3_2/license/)
|
||||||
|
[](https://huggingface.co/qylis)
|
||||||
|
|
||||||
|
</div>
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 📖 Model Overview
|
||||||
|
|
||||||
|
`qylis/llama3.2-3b-tuned` is a fine-tuned version of Meta's [Llama 3.2 3B](https://huggingface.co/meta-llama/Llama-3.2-3B), developed and maintained by **Qylis**. This model has been adapted for enhanced instruction-following and domain-specific performance, leveraging Qylis's proprietary fine-tuning pipeline.
|
||||||
|
|
||||||
|
| Property | Details |
|
||||||
|
|---|---|
|
||||||
|
| **Base Model** | meta-llama/Llama-3.2-3B |
|
||||||
|
| **Model Type** | Causal Language Model (CLM) |
|
||||||
|
| **Architecture** | LlamaForCausalLM |
|
||||||
|
| **Parameters** | ~3 Billion |
|
||||||
|
| **Fine-tuned by** | Qylis |
|
||||||
|
| **Language** | English |
|
||||||
|
| **License** | Llama 3.2 Community License |
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 🚀 Quick Start
|
||||||
|
|
||||||
|
### Installation
|
||||||
|
|
||||||
|
```bash
|
||||||
|
pip install transformers torch accelerate
|
||||||
|
```
|
||||||
|
|
||||||
|
### Inference
|
||||||
|
|
||||||
|
```python
|
||||||
|
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||||
|
import torch
|
||||||
|
|
||||||
|
model_id = "qylis/llama3.2-3b-tuned"
|
||||||
|
|
||||||
|
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
||||||
|
model = AutoModelForCausalLM.from_pretrained(
|
||||||
|
model_id,
|
||||||
|
torch_dtype=torch.bfloat16,
|
||||||
|
device_map="auto"
|
||||||
|
)
|
||||||
|
|
||||||
|
prompt = "Your prompt here"
|
||||||
|
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
||||||
|
|
||||||
|
with torch.no_grad():
|
||||||
|
outputs = model.generate(
|
||||||
|
**inputs,
|
||||||
|
max_new_tokens=512,
|
||||||
|
temperature=0.7,
|
||||||
|
top_p=0.9,
|
||||||
|
do_sample=True,
|
||||||
|
)
|
||||||
|
|
||||||
|
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
||||||
|
print(response)
|
||||||
|
```
|
||||||
|
|
||||||
|
### Pipeline API
|
||||||
|
|
||||||
|
```python
|
||||||
|
from transformers import pipeline
|
||||||
|
|
||||||
|
pipe = pipeline(
|
||||||
|
"text-generation",
|
||||||
|
model="qylis/llama3.2-3b-tuned",
|
||||||
|
torch_dtype="auto",
|
||||||
|
device_map="auto"
|
||||||
|
)
|
||||||
|
|
||||||
|
result = pipe("Your prompt here", max_new_tokens=256)
|
||||||
|
print(result[0]["generated_text"])
|
||||||
|
```
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 🎯 Intended Use
|
||||||
|
|
||||||
|
This model is intended for:
|
||||||
|
|
||||||
|
- **Instruction following** — Responding to natural language instructions
|
||||||
|
- **Text generation** — Generating coherent and contextually relevant text
|
||||||
|
- **Domain-specific tasks** — Applications fine-tuned by Qylis for specific use cases
|
||||||
|
- **Research and development** — Experimentation with fine-tuned LLMs
|
||||||
|
|
||||||
|
### Out-of-Scope Use
|
||||||
|
|
||||||
|
- Generating harmful, abusive, or misleading content
|
||||||
|
- High-stakes decision making without human oversight
|
||||||
|
- Use in applications requiring absolute factual accuracy without verification
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 🏋️ Training Details
|
||||||
|
|
||||||
|
| Property | Details |
|
||||||
|
|---|---|
|
||||||
|
| **Base Model** | meta-llama/Llama-3.2-3B |
|
||||||
|
| **Fine-tuning Method** | Supervised Fine-Tuning (SFT) |
|
||||||
|
| **Fine-tuned by** | Qylis |
|
||||||
|
| **Framework** | HuggingFace Transformers / PEFT |
|
||||||
|
|
||||||
|
> 📝 Additional training details, dataset information, and hyperparameters will be updated as documentation is finalized.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 📊 Evaluation
|
||||||
|
|
||||||
|
> Benchmark results and evaluation metrics will be published here. Stay tuned for updates from the Qylis team.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## ⚠️ Limitations & Bias
|
||||||
|
|
||||||
|
Like all large language models, this model may:
|
||||||
|
|
||||||
|
- **Hallucinate** — Generate plausible-sounding but factually incorrect information
|
||||||
|
- **Reflect training biases** — Exhibit biases present in the training data
|
||||||
|
- **Struggle with long contexts** — Performance may degrade with very long inputs
|
||||||
|
- **Lack real-time knowledge** — No access to information beyond the training cutoff
|
||||||
|
|
||||||
|
Always validate outputs in production settings, especially for critical applications.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 📜 License
|
||||||
|
|
||||||
|
This model is based on **Meta's Llama 3.2** and is subject to the [Llama 3.2 Community License Agreement](https://www.llama.com/llama3_2/license/). By using this model, you agree to the terms of that license.
|
||||||
|
|
||||||
|
> ⚠️ **Naming Requirement:** Per the Llama 3.2 Community License, any fine-tuned model distributed publicly must include **"Llama"** at the beginning of its name (e.g., `Llama-Qylis-3.2-3B-Tuned`). Please ensure your model name on HuggingFace complies with this requirement.
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 🤝 About Qylis
|
||||||
|
|
||||||
|
<div align="center">
|
||||||
|
|
||||||
|
**Qylis** is building next-generation AI solutions, from fine-tuned language models to production-ready AI applications.
|
||||||
|
|
||||||
|
🌐 [qylis.com](https://qylis.com) | 🤗 [HuggingFace](https://huggingface.co/qylis) | 📧 [Contact Us](mailto:hello@qylis.com)
|
||||||
|
|
||||||
|
</div>
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
## 📬 Citation
|
||||||
|
|
||||||
|
If you use this model in your research or application, please cite:
|
||||||
|
|
||||||
|
```bibtex
|
||||||
|
@misc{qylis2024llama32tuned,
|
||||||
|
title = {Qylis Llama-3.2-3B-Tuned},
|
||||||
|
author = {Qylis},
|
||||||
|
year = {2024},
|
||||||
|
publisher = {HuggingFace},
|
||||||
|
howpublished = {\url{https://huggingface.co/qylis/llama3.2-3b-tuned}}
|
||||||
|
}
|
||||||
|
```
|
||||||
93
chat_template.jinja
Normal file
93
chat_template.jinja
Normal file
@@ -0,0 +1,93 @@
|
|||||||
|
{{- bos_token }}
|
||||||
|
{%- if custom_tools is defined %}
|
||||||
|
{%- set tools = custom_tools %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if not tools_in_user_message is defined %}
|
||||||
|
{%- set tools_in_user_message = true %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if not date_string is defined %}
|
||||||
|
{%- if strftime_now is defined %}
|
||||||
|
{%- set date_string = strftime_now("%d %b %Y") %}
|
||||||
|
{%- else %}
|
||||||
|
{%- set date_string = "26 Jul 2024" %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endif %}
|
||||||
|
{%- if not tools is defined %}
|
||||||
|
{%- set tools = none %}
|
||||||
|
{%- endif %}
|
||||||
|
|
||||||
|
{#- This block extracts the system message, so we can slot it into the right place. #}
|
||||||
|
{%- if messages[0]['role'] == 'system' %}
|
||||||
|
{%- set system_message = messages[0]['content']|trim %}
|
||||||
|
{%- set messages = messages[1:] %}
|
||||||
|
{%- else %}
|
||||||
|
{%- set system_message = "" %}
|
||||||
|
{%- endif %}
|
||||||
|
|
||||||
|
{#- System message #}
|
||||||
|
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
||||||
|
{%- if tools is not none %}
|
||||||
|
{{- "Environment: ipython\n" }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "Cutting Knowledge Date: December 2023\n" }}
|
||||||
|
{{- "Today Date: " + date_string + "\n\n" }}
|
||||||
|
{%- if tools is not none and not tools_in_user_message %}
|
||||||
|
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
||||||
|
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||||
|
{{- "Do not use variables.\n\n" }}
|
||||||
|
{%- for t in tools %}
|
||||||
|
{{- t | tojson(indent=4) }}
|
||||||
|
{{- "\n\n" }}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- endif %}
|
||||||
|
{{- system_message }}
|
||||||
|
{{- "<|eot_id|>" }}
|
||||||
|
|
||||||
|
{#- Custom tools are passed in a user message with some extra guidance #}
|
||||||
|
{%- if tools_in_user_message and not tools is none %}
|
||||||
|
{#- Extract the first user message so we can plug it in here #}
|
||||||
|
{%- if messages | length != 0 %}
|
||||||
|
{%- set first_user_message = messages[0]['content']|trim %}
|
||||||
|
{%- set messages = messages[1:] %}
|
||||||
|
{%- else %}
|
||||||
|
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
||||||
|
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||||
|
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
||||||
|
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||||
|
{{- "Do not use variables.\n\n" }}
|
||||||
|
{%- for t in tools %}
|
||||||
|
{{- t | tojson(indent=4) }}
|
||||||
|
{{- "\n\n" }}
|
||||||
|
{%- endfor %}
|
||||||
|
{{- first_user_message + "<|eot_id|>"}}
|
||||||
|
{%- endif %}
|
||||||
|
|
||||||
|
{%- for message in messages %}
|
||||||
|
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
||||||
|
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
||||||
|
{%- elif 'tool_calls' in message %}
|
||||||
|
{%- if not message.tool_calls|length == 1 %}
|
||||||
|
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- set tool_call = message.tool_calls[0].function %}
|
||||||
|
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
||||||
|
{{- '{"name": "' + tool_call.name + '", ' }}
|
||||||
|
{{- '"parameters": ' }}
|
||||||
|
{{- tool_call.arguments | tojson }}
|
||||||
|
{{- "}" }}
|
||||||
|
{{- "<|eot_id|>" }}
|
||||||
|
{%- elif message.role == "tool" or message.role == "ipython" %}
|
||||||
|
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
||||||
|
{%- if message.content is mapping or message.content is iterable %}
|
||||||
|
{{- message.content | tojson }}
|
||||||
|
{%- else %}
|
||||||
|
{{- message.content }}
|
||||||
|
{%- endif %}
|
||||||
|
{{- "<|eot_id|>" }}
|
||||||
|
{%- endif %}
|
||||||
|
{%- endfor %}
|
||||||
|
{%- if add_generation_prompt %}
|
||||||
|
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
||||||
|
{%- endif %}
|
||||||
40
config.json
Normal file
40
config.json
Normal file
@@ -0,0 +1,40 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"LlamaForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"eos_token_id": [
|
||||||
|
128001,
|
||||||
|
128008,
|
||||||
|
128009
|
||||||
|
],
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 3072,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 8192,
|
||||||
|
"max_position_embeddings": 131072,
|
||||||
|
"mlp_bias": false,
|
||||||
|
"model_type": "llama",
|
||||||
|
"num_attention_heads": 24,
|
||||||
|
"num_hidden_layers": 28,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"pad_token_id": null,
|
||||||
|
"pretraining_tp": 1,
|
||||||
|
"rms_norm_eps": 1e-05,
|
||||||
|
"rope_parameters": {
|
||||||
|
"factor": 32.0,
|
||||||
|
"high_freq_factor": 4.0,
|
||||||
|
"low_freq_factor": 1.0,
|
||||||
|
"original_max_position_embeddings": 8192,
|
||||||
|
"rope_theta": 500000.0,
|
||||||
|
"rope_type": "llama3"
|
||||||
|
},
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"transformers_version": "5.4.0",
|
||||||
|
"use_cache": true,
|
||||||
|
"vocab_size": 128256
|
||||||
|
}
|
||||||
12
generation_config.json
Normal file
12
generation_config.json
Normal file
@@ -0,0 +1,12 @@
|
|||||||
|
{
|
||||||
|
"bos_token_id": 128000,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
128001,
|
||||||
|
128008,
|
||||||
|
128009
|
||||||
|
],
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_p": 0.9,
|
||||||
|
"transformers_version": "5.4.0"
|
||||||
|
}
|
||||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:9527b5d04e7dd14d197fca62ea813f13a97d7a760e3e37973f4371328a75e082
|
||||||
|
size 6425529112
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
||||||
|
size 17209920
|
||||||
14
tokenizer_config.json
Normal file
14
tokenizer_config.json
Normal file
@@ -0,0 +1,14 @@
|
|||||||
|
{
|
||||||
|
"backend": "tokenizers",
|
||||||
|
"bos_token": "<|begin_of_text|>",
|
||||||
|
"clean_up_tokenization_spaces": true,
|
||||||
|
"eos_token": "<|eot_id|>",
|
||||||
|
"is_local": true,
|
||||||
|
"model_input_names": [
|
||||||
|
"input_ids",
|
||||||
|
"attention_mask"
|
||||||
|
],
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|eot_id|>",
|
||||||
|
"tokenizer_class": "PreTrainedTokenizerFast"
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user