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Merge-Mixtral-Prometheus-8x7B

Text Generation
Transformers
Safetensors
mixtral
Merge
mergekit
lazymergekit
prometheus-eval/prometheus-8x7b-v2.0
mistralai/Mixtral-8x7B-Instruct-v0.1
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +56 -0
  2. config.json +30 -0
  3. mergekit_config.yml +10 -0
  4. model-00001-of-00048.safetensors +3 -0
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README.md ADDED
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+ ---
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - prometheus-eval/prometheus-8x7b-v2.0
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+ - mistralai/Mixtral-8x7B-Instruct-v0.1
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+ base_model:
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+ - prometheus-eval/prometheus-8x7b-v2.0
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+ - mistralai/Mixtral-8x7B-Instruct-v0.1
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+ ---
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+
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+ # test-merge-3
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+
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+ test-merge-3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [prometheus-eval/prometheus-8x7b-v2.0](https://huggingface.co/prometheus-eval/prometheus-8x7b-v2.0)
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+ * [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: prometheus-eval/prometheus-8x7b-v2.0
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+ parameters:
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+ weight: 1.0
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+ - model: mistralai/Mixtral-8x7B-Instruct-v0.1
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+ parameters:
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+ weight: 1.0
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+ merge_method: linear
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+ dtype: bfloat16
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "vicgalle/test-merge-3"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
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+ {
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+ "_name_or_path": "mistralai/Mixtral-8x7B-Instruct-v0.1",
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+ "architectures": [
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+ "MixtralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 8,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "router_aux_loss_coef": 0.02,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ models:
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+ - model: prometheus-eval/prometheus-8x7b-v2.0
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+ parameters:
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+ weight: 1.0
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+ - model: mistralai/Mixtral-8x7B-Instruct-v0.1
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+ parameters:
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+ weight: 1.0
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+ merge_method: linear
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+ dtype: bfloat16
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