FineMistral 7B Instruct Ead 16bit is an open-source language model by Geraldine. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.
4bit Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-... Conversational En Endpoints compatible Instruct Mistral Pytorch Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Geraldine/FineMistral-7b-instruct-ead-16bit
FineMistral 7B Instruct Ead 16bit 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)
FineMistral 7B Instruct Ead 16bit Parameters and Internals
| LLM Name | FineMistral 7B Instruct Ead 16bit |
| Repository 🤗 | https://huggingface.co/Geraldine/FineMistral-7b-instruct-ead-16bit |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2024-12-21 |
| Maintainer | Geraldine |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
| Vocabulary Size | 32768 |
| Torch Data Type | bfloat16 |
Best Alternatives to FineMistral 7B Instruct Ead 16bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 Fp16 | 32K / 14.4 GB | 26 | 0 |
| Mistral 7B Instruct V0.2 4bit | 32K / 4.3 GB | 133 | 1 |
| ...tral 7B Instruct V0.3 Bnb 4bit | 32K / 4.1 GB | 30437 | 28 |
| Mistral 7B Instruct V0.2 8bit | 32K / 7.6 GB | 4 | 1 |
| ...tral 7B Instruct V0.2 Bnb 4bit | 32K / 4.1 GB | 12752 | 36 |
| Mixtral V0.3 Full 16bit | 32K / 14.5 GB | 6 | 0 |
| Mistral 7B Instruct V0.3 4bit | 32K / 4.1 GB | 25053 | 8 |
| ... 7B Instruct V0.3ContinuedFine | 32K / 14.5 GB | 13 | 0 |
| NaturalLM 7B Instruct | 32K / 14.5 GB | 15 | 10 |
| MistralContinuedFine | 32K / 14.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Geraldine/FineMistral-7b-instruct-ead-16bit .
Rank the FineMistral 7B Instruct Ead 16bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a