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
+Maya_Hermes-2.5-Mistral-7B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Maya_Hermes-2.5-Mistral-7B-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

Maya_Hermes-2.5-Mistral-7B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a654f02f41a3d433cb74289a13e60de3b445dcb652591406a498b7567e245ec
+size 2719252224

Maya_Hermes-2.5-Mistral-7B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1af851793148269ddad14d74794a227bb4e4eb4806a4f4c019579bba1bfd62d6
+size 3822035520

Maya_Hermes-2.5-Mistral-7B-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eb15043c416314eadfb1301c34bc9bb28385d8142d5d4bff2df420bf84f88a8a
+size 3518997056

Maya_Hermes-2.5-Mistral-7B-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67f493a66373b4f8ed11426a9894d591c72ef26fc1d282486e6043a82ff643df
+size 3164578368

Maya_Hermes-2.5-Mistral-7B-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad77575800c2e4993c7050bc1f5e27ac566fd510aebb6d179b730ad215c23ad3
+size 4108928640

Maya_Hermes-2.5-Mistral-7B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fdde25e53b39eb0e87c962ef04b5c98e46304b8c349085036d6c76abc5454a1
+size 4368451200

Maya_Hermes-2.5-Mistral-7B-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcd57633ae4667d03dd836f7d080b4325c7d07b18b682650acefabe9365db201
+size 4140385920

Maya_Hermes-2.5-Mistral-7B-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5cf6407aefcba15bffaaedd945c71f3f44812d0cd38968e953d0deb716b789b
+size 4997728896

Maya_Hermes-2.5-Mistral-7B-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43d787419dde5159c957092b232a71a5b70d9af043139690914596c3be9da81f
+size 5131422336

Maya_Hermes-2.5-Mistral-7B-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9af457ddf077325ad8e8584510deee3536fbd590d6478ac639a58a0fece4eb0a
+size 4997728896

Maya_Hermes-2.5-Mistral-7B-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5ff3408539a1ad4aafe5e9e8d72ef4bc6b63315b056d2a8bed4ab7a693c25a2
+size 5942079168

Maya_Hermes-2.5-Mistral-7B-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1631ea8d16d15f9e5640ae34d86ba66592ae0598f919440dde68cc5e37a809d
+size 7695875648

README.md

@@ -0,0 +1,185 @@
+---
+license: apache-2.0
+datasets:
+- argilla/distilabel-intel-orca-dpo-pairs
+tags:
+- TensorBlock
+- GGUF
+base_model: luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+model-index:
+- name: Maya_Hermes-2.5-Mistral-7B
+  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: 66.3
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+      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: 85.07
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+      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: 63.23
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+      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: 55.89
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+      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: 78.85
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+      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: 62.24
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B
+      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>
+
+## luqmanxyz/Maya_Hermes-2.5-Mistral-7B - GGUF
+
+This repo contains GGUF format model files for [luqmanxyz/Maya_Hermes-2.5-Mistral-7B](https://huggingface.co/luqmanxyz/Maya_Hermes-2.5-Mistral-7B).
+
+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 |
+| -------- | ---------- | --------- | ----------- |
+| [Maya_Hermes-2.5-Mistral-7B-Q2_K.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
+| [Maya_Hermes-2.5-Mistral-7B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
+| [Maya_Hermes-2.5-Mistral-7B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
+| [Maya_Hermes-2.5-Mistral-7B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
+| [Maya_Hermes-2.5-Mistral-7B-Q4_0.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [Maya_Hermes-2.5-Mistral-7B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
+| [Maya_Hermes-2.5-Mistral-7B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
+| [Maya_Hermes-2.5-Mistral-7B-Q5_0.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [Maya_Hermes-2.5-Mistral-7B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
+| [Maya_Hermes-2.5-Mistral-7B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
+| [Maya_Hermes-2.5-Mistral-7B-Q6_K.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
+| [Maya_Hermes-2.5-Mistral-7B-Q8_0.gguf](https://huggingface.co/tensorblock/Maya_Hermes-2.5-Mistral-7B-GGUF/blob/main/Maya_Hermes-2.5-Mistral-7B-Q8_0.gguf) | Q8_0 | 7.696 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/Maya_Hermes-2.5-Mistral-7B-GGUF --include "Maya_Hermes-2.5-Mistral-7B-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/Maya_Hermes-2.5-Mistral-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```