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RichardErkhov/
AIGym_-_deepseek-coder-6.7b-chat-and-function-calling-gguf

Name: AIGym_-_deepseek-coder-6.7b-chat-and-function-calling-gguf
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deepseek-coder-6.7b-chat-and-function-calling - GGUF

Model creator: https://huggingface.co/AIGym/
Original model: https://huggingface.co/AIGym/deepseek-coder-6.7b-chat-and-function-calling/

Name	Quant method	Size
deepseek-coder-6.7b-chat-and-function-calling.Q2_K.gguf	Q2_K	2.36GB
deepseek-coder-6.7b-chat-and-function-calling.IQ3_XS.gguf	IQ3_XS	2.61GB
deepseek-coder-6.7b-chat-and-function-calling.IQ3_S.gguf	IQ3_S	2.75GB
deepseek-coder-6.7b-chat-and-function-calling.Q3_K_S.gguf	Q3_K_S	2.75GB
deepseek-coder-6.7b-chat-and-function-calling.IQ3_M.gguf	IQ3_M	2.9GB
deepseek-coder-6.7b-chat-and-function-calling.Q3_K.gguf	Q3_K	3.07GB
deepseek-coder-6.7b-chat-and-function-calling.Q3_K_M.gguf	Q3_K_M	3.07GB
deepseek-coder-6.7b-chat-and-function-calling.Q3_K_L.gguf	Q3_K_L	3.35GB
deepseek-coder-6.7b-chat-and-function-calling.IQ4_XS.gguf	IQ4_XS	3.4GB
deepseek-coder-6.7b-chat-and-function-calling.Q4_0.gguf	Q4_0	3.56GB
deepseek-coder-6.7b-chat-and-function-calling.IQ4_NL.gguf	IQ4_NL	3.59GB
deepseek-coder-6.7b-chat-and-function-calling.Q4_K_S.gguf	Q4_K_S	3.59GB
deepseek-coder-6.7b-chat-and-function-calling.Q4_K.gguf	Q4_K	3.8GB
deepseek-coder-6.7b-chat-and-function-calling.Q4_K_M.gguf	Q4_K_M	3.8GB
deepseek-coder-6.7b-chat-and-function-calling.Q4_1.gguf	Q4_1	3.95GB
deepseek-coder-6.7b-chat-and-function-calling.Q5_0.gguf	Q5_0	4.33GB
deepseek-coder-6.7b-chat-and-function-calling.Q5_K_S.gguf	Q5_K_S	4.33GB
deepseek-coder-6.7b-chat-and-function-calling.Q5_K.gguf	Q5_K	4.46GB
deepseek-coder-6.7b-chat-and-function-calling.Q5_K_M.gguf	Q5_K_M	4.46GB
deepseek-coder-6.7b-chat-and-function-calling.Q5_1.gguf	Q5_1	4.72GB
deepseek-coder-6.7b-chat-and-function-calling.Q6_K.gguf	Q6_K	5.15GB
deepseek-coder-6.7b-chat-and-function-calling.Q8_0.gguf	Q8_0	6.67GB

Original model description:

license: apache-2.0 tags:

finetuned pipeline_tag: text-generation model-index:
name: deepseek-coder-6.7b-chat-and-function-calling 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: 36.09 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/deepseek-coder-6.7b-chat-and-function-calling 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: 53.8 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/deepseek-coder-6.7b-chat-and-function-calling 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: 38.29 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/deepseek-coder-6.7b-chat-and-function-calling 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: 42.83 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/deepseek-coder-6.7b-chat-and-function-calling 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: 57.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/deepseek-coder-6.7b-chat-and-function-calling 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: 17.21 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AIGym/deepseek-coder-6.7b-chat-and-function-calling name: Open LLM Leaderboard

deepseek-coder-6.7b-chat-and-function-calling

It was created by starting with the deepseek-coder-6.7b and training it on the open assistant dataset then training yhat on function calling. We have attached the wandb report in pdf form to view the training run at a glance.

Reson

This model was fine tuned to allow it to work with the openai syntask and will return function when apperate.

Templete

Us the following templete when interacting with the fine tuned model.

Referrals

Run Pod - This is who I use to train th emodels on huggingface. If you use it we both get free crdits. - Visit Runpod's Website!

Paypal - If you want to leave a tip, it is appecaheted. - Visit My Paypal!

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	40.91
AI2 Reasoning Challenge (25-Shot)	36.09
HellaSwag (10-Shot)	53.80
MMLU (5-Shot)	38.29
TruthfulQA (0-shot)	42.83
Winogrande (5-shot)	57.22
GSM8k (5-shot)	17.21

RichardErkhov/AIGym_-_deepseek-coder-6.7b-chat-and-function-calling-gguf