Aznaur/qwen3-8b-fix-git-v7-nat at main

16.4 GB

1 contributor

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations

e6b230e verified about 1 month ago

examples
NAT training data for fix-git task - includes positive and negative examples with explicit differentiation about 1 month ago
.gitattributes
1.57 kB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
added_tokens.json
707 Bytes

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
chat_template.jinja
4.17 kB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
config.json
1.54 kB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
generation_config.json
214 Bytes

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
merges.txt
1.67 MB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
model-00001-of-00004.safetensors
4.9 GB
xet

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
model-00002-of-00004.safetensors
4.92 GB
xet

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
model-00003-of-00004.safetensors
4.98 GB
xet

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
model-00004-of-00004.safetensors
1.58 GB
xet

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
model.safetensors.index.json
32.9 kB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
special_tokens_map.json
613 Bytes

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
tokenizer.json
11.4 MB
xet

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
tokenizer_config.json
5.43 kB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago
train.parquet
83.6 kB
xet

NAT training data for fix-git task - includes positive and negative examples with explicit differentiation about 1 month ago
val.parquet
83.6 kB
xet

NAT training data for fix-git task - includes positive and negative examples with explicit differentiation about 1 month ago
vocab.json
2.78 MB

Qwen3-8B fine-tuned with Negative-Aware Training (NAT) on fix-git task - includes positive and negative examples with explicit differentiation to reduce hallucinations about 1 month ago