Downloads · 30 days
136
6% of all-time downloads
M4-ai_-_NeuralReyna-Mini-1.8B-v0.3-gguf
RichardErkhov/M4-ai_-_NeuralReyna-Mini-1.8B-v0.3-gguf
M4-ai_-_NeuralReyna-Mini-1.8B-v0.3-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
2.4K
Public
Repo size
19.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf23.4 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024
- SHA
- 64584b81
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
NeuralReyna-Mini-1.8B-v0.3 - GGUF
- Model creator: https://huggingface.co/M4-ai/
- Original model: https://huggingface.co/M4-ai/NeuralReyna-Mini-1.8B-v0.3/
| Name | Quant method | Size |
|---|---|---|
| NeuralReyna-Mini-1.8B-v0.3.Q2_K.gguf | Q2_K | 0.79GB |
| NeuralReyna-Mini-1.8B-v0.3.Q3_K_S.gguf | Q3_K_S | 0.89GB |
| NeuralReyna-Mini-1.8B-v0.3.Q3_K.gguf | Q3_K | 0.95GB |
| NeuralReyna-Mini-1.8B-v0.3.Q3_K_M.gguf | Q3_K_M | 0.95GB |
| NeuralReyna-Mini-1.8B-v0.3.Q3_K_L.gguf | Q3_K_L | 0.98GB |
| NeuralReyna-Mini-1.8B-v0.3.IQ4_XS.gguf | IQ4_XS | 1.01GB |
| NeuralReyna-Mini-1.8B-v0.3.Q4_0.gguf | Q4_0 | 1.04GB |
| NeuralReyna-Mini-1.8B-v0.3.IQ4_NL.gguf | IQ4_NL | 1.05GB |
| NeuralReyna-Mini-1.8B-v0.3.Q4_K_S.gguf | Q4_K_S | 1.08GB |
| NeuralReyna-Mini-1.8B-v0.3.Q4_K.gguf | Q4_K | 1.13GB |
| NeuralReyna-Mini-1.8B-v0.3.Q4_K_M.gguf | Q4_K_M | 1.13GB |
| NeuralReyna-Mini-1.8B-v0.3.Q4_1.gguf | Q4_1 | 1.13GB |
| NeuralReyna-Mini-1.8B-v0.3.Q5_0.gguf | Q5_0 | 1.22GB |
| NeuralReyna-Mini-1.8B-v0.3.Q5_K_S.gguf | Q5_K_S | 1.24GB |
| NeuralReyna-Mini-1.8B-v0.3.Q5_K.gguf | Q5_K | 1.28GB |
| NeuralReyna-Mini-1.8B-v0.3.Q5_K_M.gguf | Q5_K_M | 1.28GB |
| NeuralReyna-Mini-1.8B-v0.3.Q5_1.gguf | Q5_1 | 1.31GB |
| NeuralReyna-Mini-1.8B-v0.3.Q6_K.gguf | Q6_K | 1.47GB |
| NeuralReyna-Mini-1.8B-v0.3.Q8_0.gguf | Q8_0 | 1.82GB |
Original model description:
language:
- en license: apache-2.0 datasets:
- argilla/OpenHermes2.5-dpo-binarized-alpha
- Locutusque/Hercules-v3.0 inference: parameters: do_sample: true temperature: 0.8 top_p: 0.95 top_k: 40 min_new_tokens: 2 max_new_tokens: 250 repetition_penalty: 1.1 model-index:
- name: NeuralReyna-Mini-1.8B-v0.3
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: 35.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 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: 61.13 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 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: 44.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 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: 41.99 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 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: 60.93 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 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: 6.75 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=M4-ai/NeuralReyna-Mini-1.8B-v0.3 name: Open LLM Leaderboard
- 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:
NeuralReyna-Mini-1.8B-v0.3
Description
Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the argilla/OpenHermes2.5-dpo-binarized-alpha.
This model has capabilities in coding, math, science, roleplay, and function calling.
This model was trained on OpenAI's ChatML prompt format.
Quants
HQQ - https://huggingface.co/twoxfh/NeuralReyna-Mini-hqq-1.8B-v0.3
Evaluation
Coming soon
Contributions
Thanks to @aloobun and @Locutusque for their contributions to this model.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 41.77 |
| AI2 Reasoning Challenge (25-Shot) | 35.58 |
| HellaSwag (10-Shot) | 61.13 |
| MMLU (5-Shot) | 44.22 |
| TruthfulQA (0-shot) | 41.99 |
| Winogrande (5-shot) | 60.93 |
| GSM8k (5-shot) | 6.75 |
- Created
- Oct 27, 2024
- Updated
- Oct 27, 2024