---

base_model:

• Meta-Llama-3.1-8B-Instruct

tags:

• merge
• mergekit

license: llama3.1

language:

• en
• de

---

llama3.1-8b-spaetzle-v51

This is only a quick test in merging 3 and 3.1 llamas despite a number of differences in tokenizer setup i.a., also motivated by ongoing problems with BOS, looping, etc, with 3.1, esp. with llama.cpp, missing full RoPE scaling yet, etc. Performance is yet not satisfactory of course, which might have a number of causes.

GGUF is (for another test purpose) done with old llama.cpp binary (b2750).

Summary Table

| Model | AGIEval | TruthfulQA | Bigbench |

|----------------------------------------------------------------------------|--------:|-----------:|---------:|

| llama3.1-8b-spaetzle-v51| 42.23 | 57.29 | 44.3 |

| llama3-8b-spaetzle-v39| 43.43 | 60.0 | 45.89 |

AGIEval Results

| Task | llama3.1-8b-spaetzle-v51 | llama3-8b-spaetzle-v39 |

|------------------------------|-----------------------:|-----------------------:|

| agieval_aqua_rat | 27.95| 24.41|

| agieval_logiqa_en | 38.10| 37.94|

| agieval_lsat_ar | 24.78| 22.17|

| agieval_lsat_lr | 42.94| 45.29|

| agieval_lsat_rc | 59.11| 62.08|

| agieval_sat_en | 68.45| 71.36|

| agieval_sat_en_without_passage| 38.35| 44.17|

| agieval_sat_math | 38.18| 40.00|

| Average | 42.23| 43.43|

TruthfulQA Results

| Task | llama3.1-8b-spaetzle-v51 | llama3-8b-spaetzle-v39 |

|-------------|-----------------------:|-----------------------:|

| mc1 | 38.07| 43.82|

| mc2 | 57.29| 60.00|

| Average | 57.29| 60.00|

Bigbench Results

| Task | llama3.1-8b-spaetzle-v51 | llama3-8b-spaetzle-v39 |

|------------------------------------------------|-----------------------:|-----------------------:|

| bigbench_causal_judgement | 56.32| 59.47|

| bigbench_date_understanding | 69.65| 70.73|

| bigbench_disambiguation_qa | 31.40| 34.88|

| bigbench_geometric_shapes | 29.81| 24.23|

| bigbench_logical_deduction_five_objects | 30.20| 36.20|

| bigbench_logical_deduction_seven_objects | 23.00| 24.00|

| bigbench_logical_deduction_three_objects | 55.67| 65.00|

| bigbench_movie_recommendation | 33.00| 36.20|

| bigbench_navigate | 55.10| 51.70|

| bigbench_reasoning_about_colored_objects | 66.55| 68.60|

| bigbench_ruin_names | 52.23| 51.12|

| bigbench_salient_translation_error_detection | 25.55| 28.96|

| bigbench_snarks | 61.88| 62.43|

| bigbench_sports_understanding | 51.42| 53.96|

| bigbench_temporal_sequences | 59.30| 53.60|

| bigbench_tracking_shuffled_objects_five_objects| 23.28| 22.32|

| bigbench_tracking_shuffled_objects seven objects| 17.31| 17.66|

| bigbench_tracking_shuffled_objects three objects| 55.67| 65.00|

| Average | 44.30| 45.89|

(GPT4All run broke.)

🧩 Configuration

models:
  - model: cstr/llama3-8b-spaetzle-v34
    # no parameters necessary for base model
  - model: sparsh35/Meta-Llama-3.1-8B-Instruct
    parameters:
      density: 0.65
      weight: 0.5
merge_method: dare_ties
base_model: cstr/llama3-8b-spaetzle-v34
parameters:
  int8_mask: true
dtype: bfloat16
random_seed: 0
tokenizer_source: base

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "cstr/llama3-8b-spaetzle-v51"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

Provenance and EU AI Act Art. 53 note

• Base model: cstr/llama3.1-8b-spaetzle-v51 — a mergekit merge published by the same maintainer as this repository. It is not a third-party upstream: the maintainer authored that model.
• What was done here: format conversion and/or quantisation of that base model only (GGUF). No further training, fine-tuning or merging was applied at this step.
• Licence: llama3.1, inherited through the base model from the models it was built from.
• Training data: none was used, added or selected at this conversion step. The base model's card lists the models it was built from; their training content is documented — where it is documented at all — by their respective providers.
• Provider status: under Regulation (EU) 2024/1689 this repository makes no provider claim for the conversion step. Any provider obligations attaching to the model itself — including Art. 53(1)(c) copyright policy and Art. 53(1)(d) training-content summary — attach at cstr/llama3.1-8b-spaetzle-v51, not here.