初始化项目，由ModelHub XC社区提供模型
Model: JdoubleU/careconnect-llama3.2-3b Source: Original Platform
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39
.gitattributes
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unsloth.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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unsloth.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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unsloth.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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57
Modelfile
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57
Modelfile
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FROM /home/app/llama.cpp/careconnect-llama3.2-3b/unsloth.Q8_0.gguf
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TEMPLATE """{{ if .Messages }}
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{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
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{{- if .System }}
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{{ .System }}
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{{- end }}
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{{- if .Tools }}
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You are a helpful assistant named CareConnect with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the original use question.
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{{- end }}
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{{- end }}<|eot_id|>
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|>
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{{- if and $.Tools $last }}
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||||
Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.
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Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
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{{ $.Tools }}
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{{- end }}
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{{- if .ToolCalls }}
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{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
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{{- if .System }}<|start_header_id|>system<|end_header_id|>
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{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
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{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}{{ .Response }}{{ if .Response }}<|eot_id|>{{ end }}"""
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PARAMETER stop "<|start_header_id|>"
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PARAMETER stop "<|end_header_id|>"
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PARAMETER stop "<|eot_id|>"
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PARAMETER stop "<|eom_id|>"
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PARAMETER temperature 1.5
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PARAMETER min_p 0.1
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22
README.md
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22
README.md
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---
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base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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- gguf
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license: apache-2.0
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language:
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- en
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---
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# Uploaded model
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- **Developed by:** JdoubleU
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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37
adapter_config.json
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37
adapter_config.json
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{
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"alpha_pattern": {},
|
||||
"auto_mapping": null,
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||||
"base_model_name_or_path": "unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit",
|
||||
"bias": "none",
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
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||||
"layer_replication": null,
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||||
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||||
"layers_to_transform": null,
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"loftq_config": {},
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||||
"lora_bias": false,
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||||
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||||
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"peft_type": "LORA",
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||||
"r": 16,
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||||
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"target_modules": [
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"up_proj",
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"q_proj",
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"gate_proj",
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"k_proj",
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"down_proj",
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"v_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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adapter_model.safetensors
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39
config.json
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config.json
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{
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||||
"_name_or_path": "unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit",
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||||
"architectures": [
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||||
"LlamaForCausalLM"
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||||
],
|
||||
"attention_bias": false,
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||||
"attention_dropout": 0.0,
|
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|
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||||
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||||
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||||
"rope_scaling": {
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"factor": 32.0,
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"low_freq_factor": 1.0,
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"rope_type": "llama3"
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||||
},
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||||
"rope_theta": 500000.0,
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||||
"tie_word_embeddings": true,
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||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.48.0",
|
||||
"unsloth_fixed": true,
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||||
"unsloth_version": "2025.3.18",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
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||||
}
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80
handler.py
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handler.py
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from typing import Any, Dict, List
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||||
|
||||
import torch
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||||
from transformers import AutoModelForCausalLM, AutoTokenizer
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||||
|
||||
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||||
class EndpointHandler:
|
||||
def __init__(self, path: str = ""):
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||||
self.tokenizer = AutoTokenizer.from_pretrained(path)
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||||
|
||||
if self.tokenizer.pad_token is None:
|
||||
self.tokenizer.pad_token = self.tokenizer.eos_token
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||||
|
||||
self.model = AutoModelForCausalLM.from_pretrained(
|
||||
path,
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||||
device_map="auto",
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||||
torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
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||||
)
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||||
self.model.eval()
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||||
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||||
def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
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||||
inputs = data.get("inputs", "")
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||||
parameters = data.get("parameters", {}) or {}
|
||||
|
||||
if isinstance(inputs, list):
|
||||
prompt = "\n".join(str(x) for x in inputs)
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||||
else:
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||||
prompt = str(inputs)
|
||||
|
||||
max_new_tokens = int(parameters.get("max_new_tokens", 256))
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||||
temperature = float(parameters.get("temperature", 0.7))
|
||||
top_p = float(parameters.get("top_p", 0.9))
|
||||
do_sample = bool(parameters.get("do_sample", True))
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||||
|
||||
messages = parameters.get("messages")
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||||
if messages and isinstance(messages, list):
|
||||
if hasattr(self.tokenizer, "apply_chat_template"):
|
||||
formatted_prompt = self.tokenizer.apply_chat_template(
|
||||
messages,
|
||||
tokenize=False,
|
||||
add_generation_prompt=True,
|
||||
)
|
||||
else:
|
||||
formatted_prompt = "\n".join(
|
||||
f"{m.get('role', 'user')}: {m.get('content', '')}" for m in messages
|
||||
)
|
||||
else:
|
||||
formatted_prompt = prompt
|
||||
|
||||
model_inputs = self.tokenizer(
|
||||
formatted_prompt,
|
||||
return_tensors="pt",
|
||||
padding=True,
|
||||
truncation=True,
|
||||
)
|
||||
|
||||
model_inputs = {k: v.to(self.model.device) for k, v in model_inputs.items()}
|
||||
|
||||
with torch.no_grad():
|
||||
outputs = self.model.generate(
|
||||
**model_inputs,
|
||||
max_new_tokens=max_new_tokens,
|
||||
temperature=temperature,
|
||||
top_p=top_p,
|
||||
do_sample=do_sample,
|
||||
pad_token_id=self.tokenizer.pad_token_id,
|
||||
eos_token_id=self.tokenizer.eos_token_id,
|
||||
)
|
||||
|
||||
generated_text = self.tokenizer.decode(
|
||||
outputs[0],
|
||||
skip_special_tokens=True,
|
||||
)
|
||||
|
||||
if generated_text.startswith(formatted_prompt):
|
||||
generated_text = generated_text[len(formatted_prompt):].strip()
|
||||
|
||||
return {
|
||||
"generated_text": generated_text
|
||||
}
|
||||
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"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
6
requirements.txt
Normal file
6
requirements.txt
Normal file
@@ -0,0 +1,6 @@
|
||||
torch
|
||||
transformers
|
||||
accelerate
|
||||
bitsandbytes
|
||||
sentencepiece
|
||||
safetensors
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|finetune_right_pad_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
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
|
||||
2067
tokenizer_config.json
Normal file
2067
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
unsloth.Q4_K_M.gguf
Normal file
3
unsloth.Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ef9a3707fb45f1f18a3a1a3bd9d8d2930cf07bb8cad875d150690e69c1a2c156
|
||||
size 2019378560
|
||||
3
unsloth.Q5_K_M.gguf
Normal file
3
unsloth.Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8fafb3267a11102e25a519913ae681a9c459cbc55501496fe6bf6de81827ead9
|
||||
size 2322154880
|
||||
3
unsloth.Q8_0.gguf
Normal file
3
unsloth.Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:22d98bac9279184e82428172b8732da90a1591a8be86f278052da7dc53240f5b
|
||||
size 3421899648
|
||||
Reference in New Issue
Block a user