Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vicgalle_-_CarbonBeagle-11B-truthy-gguf – AI Model by RichardErkhov | AlphaNeural AI
You can deploy this model and start earning money today!
RichardErkhov
/
vicgalle_-_CarbonBeagle-11B-truthy-gguf
like
0
conversational
endpoints_compatible
gguf
template
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Quantization made by Richard Erkhov.
Github
Discord
Request more models
CarbonBeagle-11B-truthy - GGUF
Model creator:
https://huggingface.co/vicgalle/
Original model:
https://huggingface.co/vicgalle/CarbonBeagle-11B-truthy/
Name
Quant method
Size
CarbonBeagle-11B-truthy.Q2_K.gguf
Q2_K
3.73GB
CarbonBeagle-11B-truthy.IQ3_XS.gguf
IQ3_XS
4.14GB
CarbonBeagle-11B-truthy.IQ3_S.gguf
IQ3_S
4.37GB
CarbonBeagle-11B-truthy.Q3_K_S.gguf
Q3_K_S
4.34GB
CarbonBeagle-11B-truthy.IQ3_M.gguf
IQ3_M
4.51GB
CarbonBeagle-11B-truthy.Q3_K.gguf
Q3_K
4.84GB
CarbonBeagle-11B-truthy.Q3_K_M.gguf
Q3_K_M
4.84GB
CarbonBeagle-11B-truthy.Q3_K_L.gguf
Q3_K_L
5.26GB
CarbonBeagle-11B-truthy.IQ4_XS.gguf
IQ4_XS
5.43GB
CarbonBeagle-11B-truthy.Q4_0.gguf
Q4_0
5.66GB
CarbonBeagle-11B-truthy.IQ4_NL.gguf
IQ4_NL
5.72GB
CarbonBeagle-11B-truthy.Q4_K_S.gguf
Q4_K_S
5.7GB
CarbonBeagle-11B-truthy.Q4_K.gguf
Q4_K
6.02GB
CarbonBeagle-11B-truthy.Q4_K_M.gguf
Q4_K_M
6.02GB
CarbonBeagle-11B-truthy.Q4_1.gguf
Q4_1
6.27GB
CarbonBeagle-11B-truthy.Q5_0.gguf
Q5_0
6.89GB
CarbonBeagle-11B-truthy.Q5_K_S.gguf
Q5_K_S
6.89GB
CarbonBeagle-11B-truthy.Q5_K.gguf
Q5_K
7.08GB
CarbonBeagle-11B-truthy.Q5_K_M.gguf
Q5_K_M
7.08GB
CarbonBeagle-11B-truthy.Q5_1.gguf
Q5_1
7.51GB
CarbonBeagle-11B-truthy.Q6_K.gguf
Q6_K
8.2GB
CarbonBeagle-11B-truthy.Q8_0.gguf
Q8_0
10.62GB
Original model description:
license: apache-2.0 library_name: transformers datasets:
jondurbin/truthy-dpo-v0.1 model-index:
name: CarbonBeagle-11B-truthy 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: 72.27 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B-truthy
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: 89.31 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B-truthy
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: 66.55 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B-truthy
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: 78.55 source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B-truthy
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: 83.82 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B-truthy
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: 66.11 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B-truthy
name: Open LLM Leaderboard
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
76.10
AI2 Reasoning Challenge (25-Shot)
72.27
HellaSwag (10-Shot)
89.31
MMLU (5-Shot)
66.55
TruthfulQA (0-shot)
78.55
Winogrande (5-shot)
83.82
GSM8k (5-shot)
66.11