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
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea5c1053b49711b9d6a98e333de5be73993376b5cb61814e248c3ced4b051d37
+size 3805397952

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb552fb39b666b96a7f16d7e1a912af16a73b744c5e9fb5eb3c27f8a0f592a75
+size 5132452800

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61fa82f48ec8cbaf1e5f726a8a94a873ff7ef22085a90dc451c7666c5dff1732
+size 4761781184

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d61dfc093fed1fbb08ac78a1c0c81fff9da23ce39e130b86edc8b878fea9353
+size 4337664960

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd46ee3e82c26c56042a67c3c68615244c8f11482aa1529f479fc744ecbffe58
+size 5443142592

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60f4484e05d96a30202f13cece37857904bdd351ccef1a2352647830e1bb92a7
+size 5761057728

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b43a7695b34c4c314d2f2dcb6207f701b8569c4f2a9bb809846ad34415b4440
+size 5478925248

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df9ddee05664fb8ae124f3365f0be3d3a20b58ae430d4d4216520b9c5ccf69df
+size 6483592128

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bad04d65a568f604eac0298b8788dcc8fcbe2450b6518435ab2d8f08463c4f55
+size 6647366592

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5a8e5f6b60f39a1aec0cb55aab7b5dd7c803be42976a19451a050aaf22722d2
+size 6483592128

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbd93e522a9cbdd290831c29fd665b6b4dd22965f2cc479ab77d4ea47d9f6ee6
+size 7589069760

Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0972d43bde2382ad8433a7225ce8e736cd876443c2403314ed05164075791898
+size 9827148736

README.md

@@ -0,0 +1,174 @@
+---
+license: apache-2.0
+library_name: transformers
+tags:
+- TensorBlock
+- GGUF
+base_model: recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+model-index:
+- name: Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 76.49
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 42.25
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 1.74
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 10.74
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 12.39
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 35.63
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp
+      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>
+
+## recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp - GGUF
+
+This repo contains GGUF format model files for [recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp](https://huggingface.co/recoilme/Gemma-2-Ataraxy-Gemmasutra-9B-slerp).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](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
+
+```
+<bos><start_of_turn>user
+{prompt}<end_of_turn>
+<start_of_turn>model
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q2_K.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q2_K.gguf) | Q2_K | 3.805 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_S.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_S.gguf) | Q3_K_S | 4.338 GB | very small, high quality loss |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_M.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_M.gguf) | Q3_K_M | 4.762 GB | very small, high quality loss |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_L.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q3_K_L.gguf) | Q3_K_L | 5.132 GB | small, substantial quality loss |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_0.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_0.gguf) | Q4_0 | 5.443 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_S.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_S.gguf) | Q4_K_S | 5.479 GB | small, greater quality loss |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_M.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q4_K_M.gguf) | Q4_K_M | 5.761 GB | medium, balanced quality - recommended |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_0.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_0.gguf) | Q5_0 | 6.484 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_S.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_S.gguf) | Q5_K_S | 6.484 GB | large, low quality loss - recommended |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_M.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q5_K_M.gguf) | Q5_K_M | 6.647 GB | large, very low quality loss - recommended |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q6_K.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q6_K.gguf) | Q6_K | 7.589 GB | very large, extremely low quality loss |
+| [Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q8_0.gguf](https://huggingface.co/tensorblock/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF/blob/main/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-Q8_0.gguf) | Q8_0 | 9.827 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/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF --include "Gemma-2-Ataraxy-Gemmasutra-9B-slerp-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/Gemma-2-Ataraxy-Gemmasutra-9B-slerp-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```