初始化项目，由ModelHub XC社区提供模型

Model: afrideva/smol_llama-220M-open_instruct-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,42 @@
+*.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
+smol_llama-220m-open_instruct.fp16.gguf filter=lfs diff=lfs merge=lfs -text
+smol_llama-220m-open_instruct.q2_k.gguf filter=lfs diff=lfs merge=lfs -text
+smol_llama-220m-open_instruct.q3_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+smol_llama-220m-open_instruct.q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+smol_llama-220m-open_instruct.q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+smol_llama-220m-open_instruct.q6_k.gguf filter=lfs diff=lfs merge=lfs -text
+smol_llama-220m-open_instruct.q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,99 @@
+---
+base_model: BEE-spoke-data/smol_llama-220M-open_instruct
+datasets:
+- VMware/open-instruct
+inference: false
+license: apache-2.0
+model_creator: BEE-spoke-data
+model_name: smol_llama-220M-open_instruct
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+widget:
+- example_title: burritos
+  text: "Below is an instruction that describes a task, paired with an input that
+    provides further context. Write a response that appropriately completes the request.
+    \ \n   \n### Instruction:  \n  \nWrite an ode to Chipotle burritos. \n  \n###
+    Response:  \n"
+---
+# BEE-spoke-data/smol_llama-220M-open_instruct-GGUF
+
+Quantized GGUF model files for [smol_llama-220M-open_instruct](https://huggingface.co/BEE-spoke-data/smol_llama-220M-open_instruct) from [BEE-spoke-data](https://huggingface.co/BEE-spoke-data)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [smol_llama-220m-open_instruct.fp16.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.fp16.gguf) | fp16 | 436.50 MB  |
+| [smol_llama-220m-open_instruct.q2_k.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.q2_k.gguf) | q2_k | 94.43 MB  |
+| [smol_llama-220m-open_instruct.q3_k_m.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.q3_k_m.gguf) | q3_k_m | 114.65 MB  |
+| [smol_llama-220m-open_instruct.q4_k_m.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.q4_k_m.gguf) | q4_k_m | 137.58 MB  |
+| [smol_llama-220m-open_instruct.q5_k_m.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.q5_k_m.gguf) | q5_k_m | 157.91 MB  |
+| [smol_llama-220m-open_instruct.q6_k.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.q6_k.gguf) | q6_k | 179.52 MB  |
+| [smol_llama-220m-open_instruct.q8_0.gguf](https://huggingface.co/afrideva/smol_llama-220M-open_instruct-GGUF/resolve/main/smol_llama-220m-open_instruct.q8_0.gguf) | q8_0 | 232.28 MB  |
+
+
+
+## Original Model Card:
+# BEE-spoke-data/smol_llama-220M-open_instruct
+
+> Please note that this is an experiment, and the model has limitations because it is smol.
+
+
+prompt format is alpaca.
+
+
+```
+Below is an instruction that describes a task, paired with an input that
+provides further context. Write a response that appropriately completes
+the request.  
+
+### Instruction:  
+
+How can I increase my meme production/output? Currently, I only create them in ancient babylonian which is time consuming.  
+
+### Response:
+```
+
+This was **not** trained using a separate 'inputs' field (as `VMware/open-instruct` doesn't use one).
+
+
+## Example
+
+Output on the text above ^. The inference API is set to sample with low temp so you should see (_at least slightly_) different generations each time.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/MdOB7TD5UosPGZvdZWG0I.png)
+
+Note that the inference API parameters used here are an initial educated guess, and may be updated over time:
+
+```yml
+inference:
+  parameters:
+    do_sample: true
+    renormalize_logits: true
+    temperature: 0.25
+    top_p: 0.95
+    top_k: 50
+    min_new_tokens: 2
+    max_new_tokens: 96
+    repetition_penalty: 1.04
+    no_repeat_ngram_size: 6
+    epsilon_cutoff: 0.0006
+```
+
+Feel free to experiment with the parameters using the model in Python and let us know if you have improved results with other params!
+
+## Data 
+
+This was trained on `VMware/open-instruct` so do whatever you want, provided it falls under the base apache-2.0 license :)
+
+---

smol_llama-220m-open_instruct.fp16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31883f6c6f6ef3872ba3208cac116d87dab706d0769915e085df29a138dcc93e
+size 436502176

smol_llama-220m-open_instruct.q2_k.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9c2c2ddfb150c583abf5f06127f4fa749fa2a1547e0d77d7e2aa358c657a29
+size 94429888

smol_llama-220m-open_instruct.q3_k_m.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e271fd56c134f77d7065a93790319fa5290c934d754c9bdadd228a4b58d0569
+size 114650816

smol_llama-220m-open_instruct.q4_k_m.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0cb254c8c99f32edca193aaa1b8c6449e28d60ef2bc5bbac5e1ec1eab65480db
+size 137581248

smol_llama-220m-open_instruct.q5_k_m.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74d2ba6df51b5bd802766e6a72eb5205cfb4e005fa56ebd8fe7810b211204ef1
+size 157913792

smol_llama-220m-open_instruct.q6_k.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca8257a5e30be964a8e90b370ebc979b6750da63262046b500ef1970a9d30145
+size 179517120

smol_llama-220m-open_instruct.q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f00061aae08cc9e1981002744acee20dd8f1a9c89a7608040490fca0ebae1188
+size 232275648