初始化项目，由ModelHub XC社区提供模型

Model: second-state/SmolLM2-1.7B-Instruct-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,48 @@
+*.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
+SmolLM2-1.7B-Instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+SmolLM2-1.7B-Instruct-f16.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,83 @@
+---
+base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
+license: apache-2.0
+library_name: transformers
+model_creator: HuggingFaceTB
+model_name: SmolLM2-1.7B-Instruct
+quantized_by: Second State Inc.
+language:
+- en
+---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+
+# SmolLM2-1.7B-Instruct-GGUF
+
+## Original Model
+
+[HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct)
+
+## Run with LlamaEdge
+
+- LlamaEdge version: [v0.14.15](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.15) and above
+
+- Prompt template
+
+  - Prompt type: `chatml`
+
+  - Prompt string
+
+    ```text
+    <|im_start|>system
+    {system_message}<|im_end|>
+    <|im_start|>user
+    {prompt}<|im_end|>
+    <|im_start|>assistant
+    ```
+
+- Context size: `2048`
+
+- Run as LlamaEdge service
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM2-1.7B-Instruct-Q5_K_M.gguf \
+    llama-api-server.wasm \
+    --model-name SmolLM2-1.7B-Instruct \
+    --prompt-template chatml \
+    --ctx-size 2048
+  ```
+
+- Run as LlamaEdge command app
+
+  ```bash
+  wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM2-1.7B-Instruct-Q5_K_M.gguf \
+    llama-chat.wasm \
+    --prompt-template chatml \
+    --ctx-size 2048
+  ```
+
+## Quantized GGUF Models
+
+| Name | Quant method | Bits | Size | Use case |
+| ---- | ---- | ---- | ---- | ----- |
+| [SmolLM2-1.7B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q2_K.gguf)     | Q2_K   | 2 | 675 MB| smallest, significant quality loss - not recommended for most purposes |
+| [SmolLM2-1.7B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 933 MB| small, substantial quality loss |
+| [SmolLM2-1.7B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 860 MB| very small, high quality loss |
+| [SmolLM2-1.7B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 777 MB| very small, high quality loss |
+| [SmolLM2-1.7B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q4_0.gguf)     | Q4_0   | 4 | 991 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
+| [SmolLM2-1.7B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 1.06 GB| medium, balanced quality - recommended |
+| [SmolLM2-1.7B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 999 MB| small, greater quality loss |
+| [SmolLM2-1.7B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q5_0.gguf)     | Q5_0   | 5 | 1.19 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
+| [SmolLM2-1.7B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 1.23 GB| large, very low quality loss - recommended |
+| [SmolLM2-1.7B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 1.19 GB| large, low quality loss - recommended |
+| [SmolLM2-1.7B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q6_K.gguf)     | Q6_K   | 6 | 1.41 GB| very large, extremely low quality loss |
+| [SmolLM2-1.7B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-Q8_0.gguf)     | Q8_0   | 8 | 1.82 GB| very large, extremely low quality loss - not recommended |
+| [SmolLM2-1.7B-Instruct-f16.gguf](https://huggingface.co/second-state/SmolLM2-1.7B-Instruct-GGUF/blob/main/SmolLM2-1.7B-Instruct-f16.gguf)       | f16    | 16 | 3.42 GB| |
+
+*Quantized with llama.cpp b4120*

SmolLM2-1.7B-Instruct-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a81276a962be228e83df40e1be833b5735a902974e635d4931d6bc5d76053e0
+size 674583392

SmolLM2-1.7B-Instruct-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:722e0f3846c0cd6613fc93580da4c1165de956d3626c55aed0b230a50194987f
+size 932533088

SmolLM2-1.7B-Instruct-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2ce91737dfa2127c4fce6604b29218567f6343b16c560aab93efa025f958ecb
+size 860181344

SmolLM2-1.7B-Instruct-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c34cbe3aeca752c09b39089a1c4fb521d7cb4699cc080cc6de9b03980c5b42d
+size 776819552

SmolLM2-1.7B-Instruct-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d202c4c42d0bd299551cc099ac4fb2c12228b03f3bfa0d06cb00ab7f011d577
+size 990729056

SmolLM2-1.7B-Instruct-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fab954d296aa25885960ed771a005343c220ac93ef78a53454e667e334935fe9
+size 1055609696

SmolLM2-1.7B-Instruct-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b73b7bdaf7106c7a21da146b8ac4fd732afecffe591fb06f43313cdd57a4259
+size 999117664

SmolLM2-1.7B-Instruct-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23ecf83012ddcbb17c8b9227b2cf7f6a4abff4b1ebfe2fec5caf9d7318243551
+size 1192055648

SmolLM2-1.7B-Instruct-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57b99e35d3538d90385687402ab5cbaba76ba52618071f72fc467689b1ddaffa
+size 1225479008

SmolLM2-1.7B-Instruct-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfe968c323792f71eff38719450aee55263bf7964bb9fddf61e33e9f2e540147
+size 1192055648

SmolLM2-1.7B-Instruct-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a5e500d36887cb68be1b24ab7adefb07ea77b7d2e0d1000095025b5f7bc8a6f
+size 1405965152

SmolLM2-1.7B-Instruct-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1812c04a6a47bf08da5d352d89978712db8225cb17d571c3c12805dd33411e6b
+size 1820414816

SmolLM2-1.7B-Instruct-f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84f3bea5ec6149793d9087205c433f11ac0de5602b942b59d5399773786a0b83
+size 3424736096

config.json

@@ -0,0 +1,35 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 32,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 130000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "transformers.js_config": {
+    "kv_cache_dtype": {
+      "q4f16": "float16",
+      "fp16": "float16"
+    }
+  },
+  "use_cache": true,
+  "vocab_size": 49152
+}