Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,15 @@ saved_model/**/* 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
+Orca-2.0-Tau-1.8B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Orca-2.0-Tau-1.8B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Orca-2.0-Tau-1.8B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8dd8f0051d24222c09b9b72c9e30caeb4fc9fa3a6be3c02f982d1ab9155a01d
+size 846571680

Orca-2.0-Tau-1.8B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58faaec6052413148dbd3882958620f0148d5aaaa7ead96df7a441e3cff3fc11
+size 1056202912

Orca-2.0-Tau-1.8B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d7a6b77e7038a6787a7600399d86b0c562b044a4ef233ba657054f9a6381cce
+size 1015881888

Orca-2.0-Tau-1.8B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:912dc80b618735ccd1586fcf1cdb8a271238f7cb90ada96e8e87b34ef87861c9
+size 953573536

Orca-2.0-Tau-1.8B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec9ef9c2714030b8162cde1283595b05d282431fdbe5881b8f95ff1c07ca0803
+size 1120237728

Orca-2.0-Tau-1.8B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f135031f387f6e572dca8320813f7a7dfbb99f537fa2382b6c7ed49e28a91ee6
+size 1217755296

Orca-2.0-Tau-1.8B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c732f68bcde9a2ff2d1b19053b49d4aee23501c9ed2930d3d0f8c660f77f0915
+size 1158264992

Orca-2.0-Tau-1.8B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3474f05a6b2f93727eb0f286eb845964a3209066b92ef8b202bd20e4f764e908
+size 1310914720

Orca-2.0-Tau-1.8B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bade9df83b8197681deac062ac928e9bd87addf58c9fa8ff9d886feb64c4138b
+size 1376778400

Orca-2.0-Tau-1.8B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9777b1e46421b6d5ea1fa2c67c12b707dfb9f2e201f54991e2ff5400ddb7f95
+size 1327823008

Orca-2.0-Tau-1.8B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd25d5d3e07fca270958c2bbc30b018d410bdc9011baf103206ec23be9f09d35
+size 1579028640

Orca-2.0-Tau-1.8B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af6a77b89ee58223b7a39f09a522660f56f219e3663e8c591bc54fddb9a7a989
+size 1958305952

README.md

@@ -0,0 +1,205 @@
+---
+language:
+- en
+license: other
+library_name: transformers
+datasets:
+- Open-Orca/SlimOrca
+- m-a-p/Code-Feedback
+- MaziyarPanahi/WizardLM_evol_instruct_V2_196k
+- camel-ai/math
+- camel-ai/physics
+- camel-ai/biology
+- camel-ai/chemistry
+- LDJnr/Capybara
+- jondurbin/airoboros-3.2
+- microsoft/orca-math-word-problems-200k
+inference:
+  parameters:
+    do_sample: true
+    temperature: 0.8
+    top_p: 0.95
+    top_k: 40
+    max_new_tokens: 250
+    repetition_penalty: 1.1
+base_model: M4-ai/Orca-2.0-Tau-1.8B
+tags:
+- TensorBlock
+- GGUF
+model-index:
+- name: Orca-2.0-Tau-1.8B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 37.12
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 61.13
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 45.27
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 39.1
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 59.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 28.96
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/Orca-2.0-Tau-1.8B
+      name: Open LLM Leaderboard
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## M4-ai/Orca-2.0-Tau-1.8B - GGUF
+
+This repo contains GGUF format model files for [M4-ai/Orca-2.0-Tau-1.8B](https://huggingface.co/M4-ai/Orca-2.0-Tau-1.8B).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Orca-2.0-Tau-1.8B-Q2_K.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q2_K.gguf) | Q2_K | 0.847 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Orca-2.0-Tau-1.8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q3_K_S.gguf) | Q3_K_S | 0.954 GB | very small, high quality loss |
+| [Orca-2.0-Tau-1.8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q3_K_M.gguf) | Q3_K_M | 1.016 GB | very small, high quality loss |
+| [Orca-2.0-Tau-1.8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q3_K_L.gguf) | Q3_K_L | 1.056 GB | small, substantial quality loss |
+| [Orca-2.0-Tau-1.8B-Q4_0.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q4_0.gguf) | Q4_0 | 1.120 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Orca-2.0-Tau-1.8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q4_K_S.gguf) | Q4_K_S | 1.158 GB | small, greater quality loss |
+| [Orca-2.0-Tau-1.8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q4_K_M.gguf) | Q4_K_M | 1.218 GB | medium, balanced quality - recommended |
+| [Orca-2.0-Tau-1.8B-Q5_0.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q5_0.gguf) | Q5_0 | 1.311 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Orca-2.0-Tau-1.8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q5_K_S.gguf) | Q5_K_S | 1.328 GB | large, low quality loss - recommended |
+| [Orca-2.0-Tau-1.8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q5_K_M.gguf) | Q5_K_M | 1.377 GB | large, very low quality loss - recommended |
+| [Orca-2.0-Tau-1.8B-Q6_K.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q6_K.gguf) | Q6_K | 1.579 GB | very large, extremely low quality loss |
+| [Orca-2.0-Tau-1.8B-Q8_0.gguf](https://huggingface.co/tensorblock/Orca-2.0-Tau-1.8B-GGUF/blob/main/Orca-2.0-Tau-1.8B-Q8_0.gguf) | Q8_0 | 1.958 GB | very large, extremely low quality loss - not recommended |
+
+
+## Downloading instruction
+
+### Command line
+
+Firstly, install Huggingface Client
+
+```shell
+pip install -U "huggingface_hub[cli]"
+```
+
+Then, downoad the individual model file the a local directory
+
+```shell
+huggingface-cli download tensorblock/Orca-2.0-Tau-1.8B-GGUF --include "Orca-2.0-Tau-1.8B-Q2_K.gguf" --local-dir MY_LOCAL_DIR
+```
+
+If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
+
+```shell
+huggingface-cli download tensorblock/Orca-2.0-Tau-1.8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```