4bit Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-... Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth
Parser User V8 0622 Epoch7 0.002 Nosystemprompt Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Parser User V8 0622 Epoch7 0.002 Nosystemprompt Parameters and Internals
| LLM Name | Parser User V8 0622 Epoch7 0.002 Nosystemprompt |
| Repository 🤗 | https://huggingface.co/magnifi/parser_user_v8-0622-epoch7-0.002_nosystemprompt |
| Base Model(s) | |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2024-09-07 |
| Maintainer | magnifi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | bfloat16 |
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| ...Word Problems 200K Model 16bit | 4K / 7.6 GB | 5125 | 0 |
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| ... 4K Instruct Matter 0.1 Slim A | 4K / 7.6 GB | 1 | 2 |
| Pii Redaction V0.3 | 4K / 7.6 GB | 32 | 0 |
| ...rser User V9b Epoch 7 Lr 0.002 | 4K / 7.6 GB | 5 | 0 |
| ...100 Percent Low Med Perplexity | 4K / 7.6 GB | 5 | 0 |
| ...20 Epoch7 0.002 Nosystemprompt | 4K / 7.6 GB | 5 | 0 |
| ...Af 50 Percent Low Med Nv Embed | 4K / 7.6 GB | 5 | 0 |
| Phi 3 Mini 4k OLScience V02 | 4K / 7.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than magnifi/parser_user_v8-0622-epoch7-0.002_nosystemprompt .
Rank the Parser User V8 0622 Epoch7 0.002 Nosystemprompt Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803