add function call example

.gitattributes

@@ -1,37 +1,44 @@
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin 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
-*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
-*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
-*.db* filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-fp16.gguf filter=lfs diff=lfs merge=lfs -text
-*.ark* filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q2_k.gguf filter=lfs diff=lfs merge=lfs -text
-**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q3_k_m.gguf filter=lfs diff=lfs merge=lfs -text
-**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q4_0.gguf filter=lfs diff=lfs merge=lfs -text
-**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q5_0.gguf filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text
-*.gguf* filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q6_k.gguf filter=lfs diff=lfs merge=lfs -text
-*.ggml filter=lfs diff=lfs merge=lfs -text
+internlm2_5-7b-chat-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
-*.llamafile* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,47 +1,151 @@
 ---
-license: Apache License 2.0
+license: apache-2.0
-
+language:
-#model-type:
+- en
-##如 gpt、phi、llama、chatglm、baichuan 等
+pipeline_tag: text-generation
-#- gpt
+tags:
-
+- chat
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
-
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
-
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
+# InternLM2.5-7B-Chat GGUF Model
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+## Introduction
-```bash
+
-#安装ModelScope
+The `internlm2_5-7b-chat` model in GGUF format can be utilized by [llama.cpp](https://github.com/ggerganov/llama.cpp), a highly popular open-source framework for Large Language Model (LLM) inference, across a variety of hardware platforms, both locally and in the cloud.
-pip install modelscope
+This repository offers `internlm2_5-7b-chat` models in GGUF format in both half precision and various low-bit quantized versions, including `q5_0`, `q5_k_m`, `q6_k`, and `q8_0`.
+
+In the subsequent sections, we will first present the installation procedure, followed by an explanation of the model download process. 
+And finally we will illustrate the methods for model inference and service deployment through specific examples.
+
+## Installation
+
+We recommend building `llama.cpp` from source. The following code snippet provides an example for the Linux CUDA platform. For instructions on other platforms, please refer to the [official guide](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#build).
+
+- Step 1: create a conda environment and install cmake
+
+```shell
+conda create --name internlm2 python=3.10 -y
+conda activate internlm2
+pip install cmake
 ```
+
+- Step 2: clone the source code and build the project 
+
+```shell
+git clone --depth=1 https://github.com/ggerganov/llama.cpp.git
+cd llama.cpp
+cmake -B build -DGGML_CUDA=ON
+cmake --build build --config Release -j
+```
+
+All the built targets can be found in the sub directory `build/bin`
+
+In the following sections, we assume that the working directory is at the root directory of `llama.cpp`.
+
+## Download models
+
+In the [introduction section](#introduction), we mentioned that this repository includes several models with varying levels of computational precision. You can download the appropriate model based on your requirements.
+For instance, `internlm2_5-7b-chat-fp16.gguf` can be downloaded as below：
+
+```shell
+pip install huggingface-hub
+huggingface-cli download internlm/internlm2_5-7b-chat-gguf internlm2_5-7b-chat-fp16.gguf --local-dir . --local-dir-use-symlinks False
+```
+
+## Inference
+
+You can use `llama-cli` for conducting inference. For a detailed explanation of `llama-cli`, please refer to [this guide](https://github.com/ggerganov/llama.cpp/blob/master/examples/main/README.md)
+
+### chat example
+
+```shell
+build/bin/llama-cli \
+    --model internlm2_5-7b-chat-fp16.gguf  \
+    --predict 512 \
+    --ctx-size 4096 \
+    --gpu-layers 32 \
+    --temp 0.8 \
+    --top-p 0.8 \
+    --top-k 50 \
+    --seed 1024 \
+    --color \
+    --prompt "<|im_start|>system\nYou are an AI assistant whose name is InternLM (书生·浦语).\n- InternLM (书生·浦语) is a conversational language model that is developed by Shanghai AI Laboratory (上海人工智能实验室). It is designed to be helpful, honest, and harmless.\n- InternLM (书生·浦语) can understand and communicate fluently in the language chosen by the user such as English and 中文.<|im_end|>\n" \
+    --interactive \
+    --multiline-input \
+    --conversation \
+    --verbose \
+    --logdir workdir/logdir \
+    --in-prefix "<|im_start|>user\n" \
+    --in-suffix "<|im_end|>\n<|im_start|>assistant\n"
+```
+
+### Function call example
+
+`llama-cli` example:
+
+```shell
+build/bin/llama-cli \
+    --model internlm2_5-7b-chat-fp16.gguf \
+    --predict 512 \
+    --ctx-size 4096 \
+    --gpu-layers 32 \
+    --temp 0.8 \
+    --top-p 0.8 \
+    --top-k 50 \
+    --seed 1024 \
+    --color \
+    --prompt '<|im_start|>system\nYou are InternLM2-Chat, a harmless AI assistant.<|im_end|>\n<|im_start|>system name=<|plugin|>[{"name": "get_current_weather", "parameters": {"required": ["location"], "type": "object", "properties": {"location": {"type": "string", "description": "The city and state, e.g. San Francisco, CA"}, "unit": {"type": "string"}}}, "description": "Get the current weather in a given location"}]<|im_end|>\n<|im_start|>user\n' \
+    --interactive \
+    --multiline-input \
+    --conversation \
+    --verbose \
+    --in-suffix "<|im_end|>\n<|im_start|>assistant\n" \
+    --special
+```
+
+Conversation results:
+
+```text
+<s><|im_start|>system
+You are InternLM2-Chat, a harmless AI assistant.<|im_end|>
+<|im_start|>system name=<|plugin|>[{"name": "get_current_weather", "parameters": {"required": ["location"], "type": "object", "properties": {"location": {"type": "string", "description": "The city and state, e.g. San Francisco, CA"}, "unit": {"type": "string"}}}, "description": "Get the current weather in a given location"}]<|im_end|>
+<|im_start|>user
+
+> I want to know today's weather in Shanghai
+I need to use the get_current_weather function to get the current weather in Shanghai.<|action_start|><|plugin|>
+{"name": "get_current_weather", "parameters": {"location": "Shanghai"}}<|action_end|>
+<|im_end|>
+
+> <|im_start|>environment name=<|plugin|>\n{"temperature": 22}
+The current temperature in Shanghai is 22 degrees Celsius.<|im_end|>
+
+> 
+```
+
+## Serving
+
+`llama.cpp` provides an OpenAI API compatible server - `llama-server`. You can deploy `internlm2_5-7b-chat-fp16.gguf` into a service like this:
+
+```shell
+./build/bin/llama-server -m ./internlm2_5-7b-chat-fp16.gguf -ngl 32
+```
+
+At the client side, you can access the service through OpenAI API:
+
 ```python
-#SDK模型下载
+from openai import OpenAI
-from modelscope import snapshot_download
+client = OpenAI(
-model_dir = snapshot_download('Shanghai_AI_Laboratory/internlm2_5-7b-chat-gguf')
+    api_key='YOUR_API_KEY',
+    base_url='http://localhost:8080/v1'
+)
+model_name = client.models.list().data[0].id
+response = client.chat.completions.create(
+  model=model_name,
+  messages=[
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": " provide three suggestions about time management"},
+  ],
+  temperature=0.8,
+  top_p=0.8
+)
+print(response)
 ```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/Shanghai_AI_Laboratory/internlm2_5-7b-chat-gguf.git
-```
-
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

internlm2_5-7b-chat-fp16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f4fd4abe9bccedc93a5c95e0b7a14da749a1a8d6ec672f42fea422634c0ec7e
+size 15478092608

internlm2_5-7b-chat-q2_k.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c61ec5054f4396e45e918d79ab7c69142a1de3bab5d6e0cdfd8d69743841778
+size 3005449024

internlm2_5-7b-chat-q3_k_m.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:460b50cce3a2811a2bf5f11b95e658902c166aed99f146e9a0ce4690b3832e26
+size 3830379328

internlm2_5-7b-chat-q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de1b8fef5373d6977345a5133def71c8ead427c27ef36232627f0d6365d4e277
+size 4453245760

internlm2_5-7b-chat-q4_k_m.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:450ef0b157ee10586bb8fce4c5173ae1799345c43c537a6a7353518df1079f55
+size 4712768320

internlm2_5-7b-chat-q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d8456f5744f6854c15ba91923a54bbf589eb742b55910c35ba7f2467d5fc893
+size 5373043520

internlm2_5-7b-chat-q5_k_m.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:687ade10a70ecb22f9902362dd47a71e1ab6106eeee105f6beab359e984dfae6
+size 5506736960

internlm2_5-7b-chat-q6_k.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c562773a51c707e2026fe783729735f39faaf43e635e8a5b1e7c5d76c5177551
+size 6350328640

internlm2_5-7b-chat-q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c17cb397a27875b584a00fd77a07c7ac401f749117f02e79a7610b6cf8ba855
+size 8224240448