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RichardErkhov/
Zardos_-_Kant-Test-0.1-Mistral-7B-gguf

Name: Zardos_-_Kant-Test-0.1-Mistral-7B-gguf
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Kant-Test-0.1-Mistral-7B - GGUF

Model creator: https://huggingface.co/Zardos/
Original model: https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-7B/

Name	Quant method	Size
Kant-Test-0.1-Mistral-7B.Q2_K.gguf	Q2_K	2.53GB
Kant-Test-0.1-Mistral-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Kant-Test-0.1-Mistral-7B.IQ3_S.gguf	IQ3_S	2.96GB
Kant-Test-0.1-Mistral-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Kant-Test-0.1-Mistral-7B.IQ3_M.gguf	IQ3_M	3.06GB
Kant-Test-0.1-Mistral-7B.Q3_K.gguf	Q3_K	3.28GB
Kant-Test-0.1-Mistral-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Kant-Test-0.1-Mistral-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Kant-Test-0.1-Mistral-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Kant-Test-0.1-Mistral-7B.Q4_0.gguf	Q4_0	3.83GB
Kant-Test-0.1-Mistral-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Kant-Test-0.1-Mistral-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Kant-Test-0.1-Mistral-7B.Q4_K.gguf	Q4_K	4.07GB
Kant-Test-0.1-Mistral-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Kant-Test-0.1-Mistral-7B.Q4_1.gguf	Q4_1	4.24GB
Kant-Test-0.1-Mistral-7B.Q5_0.gguf	Q5_0	4.65GB
Kant-Test-0.1-Mistral-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Kant-Test-0.1-Mistral-7B.Q5_K.gguf	Q5_K	4.78GB
Kant-Test-0.1-Mistral-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Kant-Test-0.1-Mistral-7B.Q5_1.gguf	Q5_1	5.07GB
Kant-Test-0.1-Mistral-7B.Q6_K.gguf	Q6_K	5.53GB
Kant-Test-0.1-Mistral-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

language:

en license: apache-2.0 pipeline_tag: text-generation model-index:
name: Kant-Test-0.1-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: 62.37 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zardos/Kant-Test-0.1-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: 82.84 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zardos/Kant-Test-0.1-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: 63.38 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zardos/Kant-Test-0.1-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: 49.62 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zardos/Kant-Test-0.1-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: 78.3 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zardos/Kant-Test-0.1-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: 37.98 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Zardos/Kant-Test-0.1-Mistral-7B name: Open LLM Leaderboard

Model Yaml

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.

For full details of this model please read our paper and release blog post.

Model Architecture

Mistral-7B-v0.1 is a transformer model, with the following architecture choices:

Grouped-Query Attention
Sliding-Window Attention
Byte-fallback BPE tokenizer

Troubleshooting

If you see the following error:

KeyError: 'mistral'

NotImplementedError: Cannot copy out of meta tensor; no data!

Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.

Notice

Mistral 7B is a pretrained base model and therefore does not have any moderation mechanisms.

The Mistral AI Team

Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	62.42
AI2 Reasoning Challenge (25-Shot)	62.37
HellaSwag (10-Shot)	82.84
MMLU (5-Shot)	63.38
TruthfulQA (0-shot)	49.62
Winogrande (5-shot)	78.30
GSM8k (5-shot)	37.98

RichardErkhov/Zardos_-_Kant-Test-0.1-Mistral-7B-gguf