Conversational Cpu-inference Endpoints compatible Gguf Llama-cpp-python Mistral Quantized Region:us Safetensors Sharded Tensorflow Tr Trendyol Turkish
Model Card on HF 🤗: https://huggingface.co/asumansaree/trendyol_llm_7b_chat_v1_0_gguf
Trendyol Llm 7b Chat V1 0 Gguf 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)
Trendyol Llm 7B Chat V1 0 Gguf Parameters and Internals
| LLM Name | Trendyol Llm 7b Chat V1 0 Gguf |
| Repository 🤗 | https://huggingface.co/asumansaree/trendyol_llm_7b_chat_v1_0_gguf |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.6 GB |
| Updated | 2025-07-11 |
| Maintainer | asumansaree |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 44312 |
| Torch Data Type | bfloat16 |
Best Alternatives to Trendyol Llm 7B Chat V1 0 Gguf
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MegaBeam Mistral 7B 300K Gguf | 282K / 5 GB | 24 | 3 |
| Boptruth Agatha 7B | 32K / 14.4 GB | 266 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 31 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 23 | 2 |
| Mahou 1.2a Mistral 7B | 32K / 14.4 GB | 53 | 6 |
| ...andle Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 27 | 0 |
| Moxin Chat 7B | 32K / 0.9 GB | 290 | 32 |
| Moxin 7B Chat | 32K / 0.9 GB | 211 | 33 |
| Moxin 7B LLM | 32K / 0.9 GB | 252 | 17 |
| Mistral V0.3 7B Cybersecurity | 32K / 14.5 GB | 38 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than asumansaree/trendyol_llm_7b_chat_v1_0_gguf .
Rank the Trendyol Llm 7B Chat V1 0 Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124