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
+ChimeraLlama-3-8B-v2-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+ChimeraLlama-3-8B-v2-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

ChimeraLlama-3-8B-v2-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6996a8f925735c5dedefe95a7740b3f1c16db8a1662561ee3502360cc2a19c0e
+size 3179132640

ChimeraLlama-3-8B-v2-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29dba01d80a71f23b4aec231a7eb5cb1af3b728866b80a99213f5bae27417612
+size 4321957600

ChimeraLlama-3-8B-v2-Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1ead926626f0bf7c5f6e75bab060ed9bda183aed8cf08a0e95e9193b2983901
+size 4018919136

ChimeraLlama-3-8B-v2-Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3fa14c75d8bf34973d9b2b20aec171610e5541c24a9b4ad4828d55a3056d60f
+size 3664500448

ChimeraLlama-3-8B-v2-Q4_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7dac210c72f79c048361aad7f8cead0b2e46406d00417dadf2941070800bee24
+size 4661212896

ChimeraLlama-3-8B-v2-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6d8a3d0cebe780149b4f568720d342a3cd175d73684ca871e8ef8f8de2eba21
+size 4920735456

ChimeraLlama-3-8B-v2-Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc90f4989bed1c6feb40f0e6381f69edb89fb7ff7885ad09dc7e5e5805220491
+size 4692670176

ChimeraLlama-3-8B-v2-Q5_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e311f969bf8926910ed9ec43c0aaf9c5d10de07683efb6ba7d81e0ff4ace2e5b
+size 5599295200

ChimeraLlama-3-8B-v2-Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a199909a36903dc039120d631037305bd09a7a1032b64fde41280c39f8050f22
+size 5732988640

ChimeraLlama-3-8B-v2-Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d9ac728158e2aec71aeb436b1291f1ad5a9cd9fa5841b4c58ecbc785b67b8b4
+size 5599295200

ChimeraLlama-3-8B-v2-Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd63a57a4dd5e60fe165510594b9c8a4b97242d66d7fc0a543a5fb80ffaa9b6c
+size 6596007648

ChimeraLlama-3-8B-v2-Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e7be39e9feb8ef403e20b6d12a0becae472e29dec2494fdaff52a8ca73628fd
+size 8540772064

README.md

@@ -0,0 +1,168 @@
+---
+license: other
+tags:
+- merge
+- mergekit
+- lazymergekit
+- TensorBlock
+- GGUF
+base_model: mlabonne/ChimeraLlama-3-8B-v2
+model-index:
+- name: ChimeraLlama-3-8B-v2
+  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: 44.69
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/ChimeraLlama-3-8B-v2
+      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: 28.48
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/ChimeraLlama-3-8B-v2
+      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: 8.31
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/ChimeraLlama-3-8B-v2
+      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: 4.7
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/ChimeraLlama-3-8B-v2
+      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: 5.25
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/ChimeraLlama-3-8B-v2
+      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: 28.54
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/ChimeraLlama-3-8B-v2
+      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>
+
+## mlabonne/ChimeraLlama-3-8B-v2 - GGUF
+
+This repo contains GGUF format model files for [mlabonne/ChimeraLlama-3-8B-v2](https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v2).
+
+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).
+
+## Prompt template
+
+```
+
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [ChimeraLlama-3-8B-v2-Q2_K.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
+| [ChimeraLlama-3-8B-v2-Q3_K_S.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
+| [ChimeraLlama-3-8B-v2-Q3_K_M.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
+| [ChimeraLlama-3-8B-v2-Q3_K_L.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
+| [ChimeraLlama-3-8B-v2-Q4_0.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [ChimeraLlama-3-8B-v2-Q4_K_S.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
+| [ChimeraLlama-3-8B-v2-Q4_K_M.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
+| [ChimeraLlama-3-8B-v2-Q5_0.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [ChimeraLlama-3-8B-v2-Q5_K_S.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
+| [ChimeraLlama-3-8B-v2-Q5_K_M.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
+| [ChimeraLlama-3-8B-v2-Q6_K.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
+| [ChimeraLlama-3-8B-v2-Q8_0.gguf](https://huggingface.co/tensorblock/ChimeraLlama-3-8B-v2-GGUF/tree/main/ChimeraLlama-3-8B-v2-Q8_0.gguf) | Q8_0 | 7.954 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/ChimeraLlama-3-8B-v2-GGUF --include "ChimeraLlama-3-8B-v2-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/ChimeraLlama-3-8B-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```