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- Mistral-7B-v0.2-meditron-turkish-Q2_K.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q3_K_L.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q3_K_M.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q3_K_S.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q4_0.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q4_K_M.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q4_K_S.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q5_0.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q5_K_M.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q5_K_S.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q6_K.gguf +3 -0
- Mistral-7B-v0.2-meditron-turkish-Q8_0.gguf +3 -0
- README.md +178 -0
.gitattributes
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README.md
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---
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2 |
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language:
|
3 |
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- tr
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- en
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license: apache-2.0
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datasets:
|
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- malhajar/meditron-tr
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base_model: malhajar/Mistral-7B-v0.2-meditron-turkish
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tags:
|
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- TensorBlock
|
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- GGUF
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model-index:
|
13 |
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- name: Mistral-7B-v0.2-meditron-turkish
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results:
|
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 59.56
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name: normalized accuracy
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source:
|
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=malhajar/Mistral-7B-v0.2-meditron-turkish
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
|
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- type: acc_norm
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value: 81.79
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name: normalized accuracy
|
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source:
|
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+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=malhajar/Mistral-7B-v0.2-meditron-turkish
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name: Open LLM Leaderboard
|
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
|
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args:
|
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num_few_shot: 5
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metrics:
|
59 |
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- type: acc
|
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value: 60.35
|
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name: accuracy
|
62 |
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source:
|
63 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=malhajar/Mistral-7B-v0.2-meditron-turkish
|
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name: Open LLM Leaderboard
|
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+
- task:
|
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type: text-generation
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name: Text Generation
|
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dataset:
|
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
|
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args:
|
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num_few_shot: 0
|
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metrics:
|
76 |
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- type: mc2
|
77 |
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value: 66.19
|
78 |
+
source:
|
79 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=malhajar/Mistral-7B-v0.2-meditron-turkish
|
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name: Open LLM Leaderboard
|
81 |
+
- task:
|
82 |
+
type: text-generation
|
83 |
+
name: Text Generation
|
84 |
+
dataset:
|
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name: Winogrande (5-shot)
|
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type: winogrande
|
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config: winogrande_xl
|
88 |
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split: validation
|
89 |
+
args:
|
90 |
+
num_few_shot: 5
|
91 |
+
metrics:
|
92 |
+
- type: acc
|
93 |
+
value: 76.24
|
94 |
+
name: accuracy
|
95 |
+
source:
|
96 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=malhajar/Mistral-7B-v0.2-meditron-turkish
|
97 |
+
name: Open LLM Leaderboard
|
98 |
+
- task:
|
99 |
+
type: text-generation
|
100 |
+
name: Text Generation
|
101 |
+
dataset:
|
102 |
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name: GSM8k (5-shot)
|
103 |
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type: gsm8k
|
104 |
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config: main
|
105 |
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split: test
|
106 |
+
args:
|
107 |
+
num_few_shot: 5
|
108 |
+
metrics:
|
109 |
+
- type: acc
|
110 |
+
value: 35.94
|
111 |
+
name: accuracy
|
112 |
+
source:
|
113 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=malhajar/Mistral-7B-v0.2-meditron-turkish
|
114 |
+
name: Open LLM Leaderboard
|
115 |
+
---
|
116 |
+
|
117 |
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<div style="width: auto; margin-left: auto; margin-right: auto">
|
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
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</div>
|
120 |
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<div style="display: flex; justify-content: space-between; width: 100%;">
|
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
|
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<p style="margin-top: 0.5em; margin-bottom: 0em;">
|
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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>
|
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</p>
|
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</div>
|
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</div>
|
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|
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## malhajar/Mistral-7B-v0.2-meditron-turkish - GGUF
|
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|
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This repo contains GGUF format model files for [malhajar/Mistral-7B-v0.2-meditron-turkish](https://huggingface.co/malhajar/Mistral-7B-v0.2-meditron-turkish).
|
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+
|
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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).
|
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|
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## Prompt template
|
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|
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```
|
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<s>[INST] {prompt} [/INST]
|
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```
|
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|
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## Model file specification
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|
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| Filename | Quant type | File Size | Description |
|
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| -------- | ---------- | --------- | ----------- |
|
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| [Mistral-7B-v0.2-meditron-turkish-Q2_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
|
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| [Mistral-7B-v0.2-meditron-turkish-Q3_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
|
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| [Mistral-7B-v0.2-meditron-turkish-Q3_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
|
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| [Mistral-7B-v0.2-meditron-turkish-Q3_K_L.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
|
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| [Mistral-7B-v0.2-meditron-turkish-Q4_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
149 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q4_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
|
150 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q4_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
|
151 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q5_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
152 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q5_K_S.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
|
153 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q5_K_M.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
|
154 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q6_K.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
|
155 |
+
| [Mistral-7B-v0.2-meditron-turkish-Q8_0.gguf](https://huggingface.co/tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF/tree/main/Mistral-7B-v0.2-meditron-turkish-Q8_0.gguf) | Q8_0 | 7.167 GB | very large, extremely low quality loss - not recommended |
|
156 |
+
|
157 |
+
|
158 |
+
## Downloading instruction
|
159 |
+
|
160 |
+
### Command line
|
161 |
+
|
162 |
+
Firstly, install Huggingface Client
|
163 |
+
|
164 |
+
```shell
|
165 |
+
pip install -U "huggingface_hub[cli]"
|
166 |
+
```
|
167 |
+
|
168 |
+
Then, downoad the individual model file the a local directory
|
169 |
+
|
170 |
+
```shell
|
171 |
+
huggingface-cli download tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF --include "Mistral-7B-v0.2-meditron-turkish-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
172 |
+
```
|
173 |
+
|
174 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
175 |
+
|
176 |
+
```shell
|
177 |
+
huggingface-cli download tensorblock/Mistral-7B-v0.2-meditron-turkish-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
178 |
+
```
|