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l3utterfly_-_mistral-7b-v0.1-layla-v4-gguf – AI Model by RichardErkhov | AlphaNeural AI
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mistral-7b-v0.1-layla-v4 - GGUF
Model creator:
https://huggingface.co/l3utterfly/
Original model:
https://huggingface.co/l3utterfly/mistral-7b-v0.1-layla-v4/
Name
Quant method
Size
mistral-7b-v0.1-layla-v4.Q2_K.gguf
Q2_K
2.53GB
mistral-7b-v0.1-layla-v4.IQ3_XS.gguf
IQ3_XS
2.81GB
mistral-7b-v0.1-layla-v4.IQ3_S.gguf
IQ3_S
2.96GB
mistral-7b-v0.1-layla-v4.Q3_K_S.gguf
Q3_K_S
2.95GB
mistral-7b-v0.1-layla-v4.IQ3_M.gguf
IQ3_M
3.06GB
mistral-7b-v0.1-layla-v4.Q3_K.gguf
Q3_K
3.28GB
mistral-7b-v0.1-layla-v4.Q3_K_M.gguf
Q3_K_M
3.28GB
mistral-7b-v0.1-layla-v4.Q3_K_L.gguf
Q3_K_L
3.56GB
mistral-7b-v0.1-layla-v4.IQ4_XS.gguf
IQ4_XS
3.67GB
mistral-7b-v0.1-layla-v4.Q4_0.gguf
Q4_0
3.83GB
mistral-7b-v0.1-layla-v4.IQ4_NL.gguf
IQ4_NL
3.87GB
mistral-7b-v0.1-layla-v4.Q4_K_S.gguf
Q4_K_S
3.86GB
mistral-7b-v0.1-layla-v4.Q4_K.gguf
Q4_K
4.07GB
mistral-7b-v0.1-layla-v4.Q4_K_M.gguf
Q4_K_M
4.07GB
mistral-7b-v0.1-layla-v4.Q4_1.gguf
Q4_1
4.24GB
mistral-7b-v0.1-layla-v4.Q5_0.gguf
Q5_0
4.65GB
mistral-7b-v0.1-layla-v4.Q5_K_S.gguf
Q5_K_S
4.65GB
mistral-7b-v0.1-layla-v4.Q5_K.gguf
Q5_K
4.78GB
mistral-7b-v0.1-layla-v4.Q5_K_M.gguf
Q5_K_M
4.78GB
mistral-7b-v0.1-layla-v4.Q5_1.gguf
Q5_1
5.07GB
mistral-7b-v0.1-layla-v4.Q6_K.gguf
Q6_K
5.53GB
mistral-7b-v0.1-layla-v4.Q8_0.gguf
Q8_0
7.17GB
Original model description:
language:
en license: apache-2.0 model-index:
name: mistral-7b-v0.1-layla-v4 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: 62.29 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=l3utterfly/mistral-7b-v0.1-layla-v4
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: 83.36 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=l3utterfly/mistral-7b-v0.1-layla-v4
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: 64.32 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=l3utterfly/mistral-7b-v0.1-layla-v4
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: 43.14 source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=l3utterfly/mistral-7b-v0.1-layla-v4
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: 79.56 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=l3utterfly/mistral-7b-v0.1-layla-v4
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: 55.5 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=l3utterfly/mistral-7b-v0.1-layla-v4
name: Open LLM Leaderboard
Model Card
Model Description
Mistral 7B fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersonation.
The dataset has been pre-processed by doing the following:
remove all refusals
remove any mention of AI assistant
split any multi-turn dialog generated in the dataset into multi-turn conversations records
added nfsw generated conversations from the Teatime dataset
Developed by:
l3utterfly
Funded by:
Layla Network
Model type:
Mistral
Language(s) (NLP):
English
License:
Apache-2.0
Finetuned from model:
Mistral 7B
Uses
Base model used by Layla - the offline personal assistant:
https://www.layla-network.ai
Help & support:
https://discord.gg/x546YJ6nYC
Prompt:
USER: ASSISTANT:
Built with Axolotl
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
64.69
AI2 Reasoning Challenge (25-Shot)
62.29
HellaSwag (10-Shot)
83.36
MMLU (5-Shot)
64.32
TruthfulQA (0-shot)
43.14
Winogrande (5-shot)
79.56
GSM8k (5-shot)
55.50